Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds only that it uses an external API and accepts detailed inputs; it does not disclose return format, computation behavior, error conditions, or any other trait beyond what the annotations and schema already imply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences and front-loads the core action. However, the second sentence is marketing-oriented filler ('offering a more personalized and precise valuation') that does not help an agent invoke the tool correctly, making it less efficient than it could be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex financial model with 19 nested inputs and no output schema, the description is far too thin. It omits critical details such as the required symbol, how assumptions map to the model, and what the analysis returns, leaving the agent with insufficient context to use the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 19 nested parameters with 0% schema description coverage per the context, yet the description provides no meaningful explanation of any parameter. It generically mentions 'detailed inputs' and 'fine-tune their assumptions' without clarifying units, defaults, required fields, or how the many financial percentages and rates should be supplied.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: 'Run a tailored Discounted Cash Flow (DCF) analysis' using the FMP Custom DCF Advanced API. It clearly indicates a custom valuation calculation, but does not distinguish it from sibling tools like getDCFValuation or calculateCustomLeveredDCF, leaving the agent to infer which DCF variant to use.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. The description only says it offers a 'more personalized and precise valuation' but does not specify prerequisites, appropriate scenarios, or exclusions compared to the standard or levered DCF siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, and openWorld, so the safety profile is covered. The description adds nothing beyond marketing framing: it does not say what the records contain, whether data is historical or current, how results are ordered, or how the 'limit' default of 2000 behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded, but the second sentence largely restates the first in promotional terms ('provides detailed information on how mergers, takeovers, or beneficial ownership changes impact...') without adding operational detail. No wasted length, but low information density.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description carries the burden of explaining what comes back; it only says 'detailed information.' For a data-retrieval tool with a large default limit and a crowded M&A tool family, an agent cannot tell what fields or time coverage to expect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents 'symbol' and 'limit'. The description adds no meaning beyond the schema and does not even mention that a symbol is required. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it provides information on how mergers, takeovers, or beneficial ownership changes affect a company's stock ownership structure, which gives a rough sense of the resource. However, the verb 'Track changes' is vague and there is no indication that retrieval is keyed by stock symbol, nor any differentiation from the many M&A siblings (getLatestMergersAcquisitions, searchMergersAcquisitions, getForm13FFilingDates).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus getLatestMergersAcquisitions, searchMergersAcquisitions, or the institutional/insider holdings tools. No prerequisites, no exclusions, no context about what kind of question this answers.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered without help from the description. The description adds only a marketing-flavored claim of 'real-time market activity' and promises filtering that the zero-parameter schema cannot deliver, without saying what the result set looks like or how large it is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource name, which is good. The second sentence is largely filler ('ensuring you access real-time market activity') and repeats the trading-on-public-exchanges idea already established.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter, no-output-schema list endpoint, the description should convey what an entry contains or how the list is bounded. It instead gestures at filtering and real-time data, which does not match the schema. It is adequate to identify the tool but not complete enough to predict its output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so the baseline is high and the schema leaves nothing to explain. The description's mention of filtering is mildly misleading here, since there is no input it could correspond to. It therefore neither helps nor seriously harms parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb and resource: 'List all actively trading companies and financial instruments'. An agent can tell this is a market-activity listing rather than a quote or screener. However, it never distinguishes itself from close siblings such as getMostActiveStocks or getCompanySymbols, so the boundary is left to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus the many sibling list/screener tools, and no prerequisites or exclusions are given. The only usage-adjacent phrase is 'allows users to filter and display', which is vague and does not tell an agent which conditions select this endpoint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety and repeatability profile is covered. The description adds that the calculation uses the FMP ADX API and historical price data, but it does not describe return format, data limitations, rate limits, or whether the result includes directional components alongside ADX values.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the core calculation purpose and followed by a brief usage-oriented sentence. It is appropriately sized for a technical-indicator tool, with little wasted wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a relatively simple read-only indicator tool with full schema coverage and useful annotations, the description is adequate but thin. It does not explain what the ADX result represents numerically or what an agent should expect in the response, leaving minor gaps despite the low complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already documents symbol, from_date, to, timeframe, and periodLength. The description does not add syntax, defaults, or meaning beyond the schema, which is the expected baseline when the schema itself is fully described.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Calculate') and resource ('Average Directional Index (ADX)') for a stock, making the tool's purpose immediately clear. It does not explicitly differentiate itself from sibling technical-indicator tools such as getRSI or getSMA, but ADX is a distinct resource, so the purpose is still identifiable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says the tool helps analyze 'trend strength and direction based on historical price data,' which implies a use case but gives no explicit guidance on when to choose ADX over sibling indicators like RSI or moving averages. There are no exclusions, prerequisites, or alternative-tool routing instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds that data is real-time and scoped to the aftermarket session, but says nothing about freshness/latency guarantees, empty results outside extended hours, or subscription prerequisites for the API.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences with the resource stated first. The trailing 'and other relevant data' and the 'with the FMP Aftermarket Quote API' brand mention are slightly padded but not obstructive.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only quote lookup with full schema coverage and annotations, the description covers what the tool returns and when the data applies. A brief pointer to the batch variant or regular-hours quote sibling would have made it complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single required parameter 'symbol' with 100% schema description coverage, so the schema already carries the documentation burden. The description adds no format guidance (e.g., exchange suffix conventions, case handling), which is the baseline expectation when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource — real-time aftermarket quotes for stocks — and lists the data points returned (bid, ask, volume). The phrase 'outside of regular trading hours' implicitly distinguishes it from the regular-hours sibling getQuote, though it never names that sibling or getAftermarketTrade explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is only implied via 'outside of regular trading hours'; there is no explicit statement of when to pick this over getQuote, getQuoteShort, getAftermarketTrade, or getBatchAftermarketQuote. An agent must infer the selection rule from the tool name and the time-of-day phrasing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered structurally. The description adds that data is real-time and post-market, and that returned details include prices, sizes, and timestamps, but it does not discuss rate limits, pagination, data freshness, or response shape beyond those fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the tool's purpose and followed by the key data fields returned. The mention of 'FMP Aftermarket Trade API' is somewhat redundant branding, but otherwise there is little wasted wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter read-only tool with full schema coverage and annotations covering safety, the description is nearly sufficient. Its main gap is failing to distinguish this tool from quote-oriented and batch siblings, which matters given the large sibling set.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and there is only one parameter (symbol), so the schema already fully documents the input. The description does not add format guidance, exchange/suffix conventions, or examples for the symbol beyond what the schema provides; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Track') and resource ('aftermarket trading activity'), and states it covers post-market trades with prices, sizes, and timestamps. It does not differentiate this tool from close siblings such as getAftermarketQuote or getBatchAftermarketTrade, leaving the trade-vs-quote distinction implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by 'after regular market hours' and 'post-market session'; there is no explicit guidance on when to use this instead of getAftermarketQuote, getQuote, or getBatchAftermarketTrade. No prerequisites, exclusions, or alternative-selection criteria are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, and openWorld, so the safety profile is fully covered. Beyond that the description adds nothing behavioural: no mention of time zones, whether pre/post-market sessions are included, or how stale the schedule data is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the action. The second sentence largely restates the first ('when markets are active' vs 'market hours'), so it is close to padding, but nothing is genuinely wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read tool with no output schema, an agent still doesn't know the shape of the response (open/close times, time zone, session breakdown), which matters when combining it with quote tools. Just adequate but with a clear gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, which is the baseline-4 case. The description correctly implies no inputs are required by framing it as a bulk view of all exchanges.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb and resource: 'View the market hours for all exchanges.' The scope word 'all' implicitly distinguishes it from the sibling getExchangeMarketHours, which presumably targets one exchange, though the sibling is never named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Check when different markets are active' implies a scheduling use case but gives no explicit when-to-use or when-not-to-use guidance, and never points to getExchangeMarketHours for a single-exchange lookup or to getHolidaysByExchange for closures.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety and idempotency profile is covered. The description adds that quotes are real-time and that the tool returns multiple indexes in a single request, but it does not discuss rate limits, authentication, or return-field behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately short and front-loads the purpose, but the second sentence largely restates the first with marketing phrasing such as 'broad view of the financial markets.' It is functional but not maximally economical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only tool with one optional parameter and annotations covering behavior, the description is adequate but lacks specifics about what 'all indexes' includes and how the short parameter changes the response. It covers the main purpose without fully describing scope boundaries.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the single optional parameter 'short' is already documented in the schema with its default. The description adds no additional meaning about the parameter, so the baseline of 3 applies when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: it provides real-time quotes for stock indexes, and it scopes the tool to multiple indexes in a single request. This makes the tool distinguishable from single-index quote tools, though it does not explicitly name any sibling alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for getting a broad market view across many indexes in one request, which gives a clear use case. However, it does not explicitly say when to use this instead of siblings like getIndexQuote or getIndexQuotes, and it provides no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the useful detail of which fields come back (SIC codes, industry titles, contact information), but says nothing about the size of the result set or how page/limit affect it, which matters for an 'all sectors' endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted length, but the opening is padded with marketing framing ('comprehensive', 'with the FMP All Industry Classification API') that restates the tool's provenance rather than helping the agent act. The concrete payload information arrives only in the second sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, two-parameter, no-output-schema listing tool, the description covers the resource and returned fields adequately. It falls short on result-set size and pagination expectations, and on any hint of how it differs from its two near-identical siblings, which is the main ambiguity an agent faces here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with both page and limit documented in the schema, so the baseline is 3. The description adds no further meaning about defaults, maximum page size, or whether pagination is required for a complete listing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a clear resource (industry classification data for companies) and a concrete retrieval action, and it lists the payload fields (SIC codes, industry titles, contact info). It does not distinguish itself from the very similar siblings getIndustryClassificationList and searchIndustryClassification, so the agent cannot tell from the text which of the three to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all, and no mention of the two closely named alternatives (getIndustryClassificationList, searchIndustryClassification) or when each should be preferred. The word 'all' hints at a full dump versus a filtered lookup, but that inference is left entirely to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds the payload contents (free float, float shares, outstanding shares), which is useful, but says nothing about pagination depth, snapshot freshness, or the scale of an 'all companies' response beyond the schema's max limit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences with the resource and scope front-loaded. Minor padding from marketing adjectives ('comprehensive', 'critical information') and the vendor API name, but nothing that obscures the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter bulk read with no output schema, the description does name the returned fields, which is helpful. It leaves open what universe 'all available companies' covers and how large responses should be paged, gaps an agent would want closed before calling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both page and limit are documented in the schema, including the default of 1000 and max of 5000. The description adds no further meaning such as pagination strategy or whether ordering is stable, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (access/retrieve) and resource (shares float data) with an explicit scope of 'all available companies', which implicitly distinguishes it from the single-symbol sibling getShareFloat. It stops short of naming that sibling, so an agent must infer the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'analyze liquidity across a wide range of companies' hints at the bulk/screening use case, but there is no explicit when-to-use versus getShareFloat (single company) or when-not-to-use guidance, and no mention of cost or rate implications of pulling the whole universe.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety and side-effect profile is covered. The description adds useful content about what the estimates include (revenue, EPS, other analyst-forecast metrics), but it does not explain pagination behavior, result ordering, or response format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences and is front-loaded with the core action, but it contains promotional filler such as 'to inform your investment decisions' and a redundant API name reference. It is reasonably concise but not maximally economical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple read-only retrieval tool with fully described input parameters and safety annotations. However, there is no output schema, and the description does not describe the shape or pagination of returned estimates, leaving some gaps for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters, including the required symbol and period enum, are fully documented in the schema. The description adds no parameter-specific meaning beyond the schema, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb and resource: retrieve analyst financial estimates for stock symbols, and names the data types (revenue, EPS, other metrics). It does not explicitly distinguish itself from nearby siblings such as getPriceTargetSummary, getPriceTargetConsensus, or getEarningsReports, so it falls short of full sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage framing is the generic phrase 'to inform your investment decisions,' which does not tell an agent when to choose this tool over alternatives like price target summaries, ratings snapshots, or earnings reports. No exclusions or alternative-routing guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety is covered. Beyond that the description adds only the marketing-flavored claim that it lets users 'filter and analyze stock symbols based on country of origin', which mischaracterizes a static enumeration endpoint as an analysis tool, and says nothing about whether the list is paginated, how large it is, or what identifiers it contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the useful one. The second sentence is vendor boilerplate that restates the API name and adds no actionable information, so roughly half the text does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter enumeration with no output schema and no parameters, the description should at least hint at the return shape (array of country names or ISO codes) and any pagination behavior. It says only 'comprehensive list', leaving the agent to guess at the payload format while spending its second sentence on irrelevant framing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the description to clarify. No parameter-level meaning is needed or missing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence states a specific verb and resource: a list of countries in which stock symbols are available. That is enough to distinguish it from enumeration siblings such as getAvailableExchanges, getAvailableSectors and getAvailableIndustries. The second sentence, however, describes filtering and analyzing symbols by country, which is not what this zero-parameter endpoint does, and it never names a sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the lookup to call to discover valid country values before filtering other endpoints. There is no explicit when-to-use, no statement that the result feeds country arguments elsewhere, and no disambiguation from the other 'getAvailable*' enumeration tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered externally. The description adds almost nothing beyond that: it does not say the call takes no arguments, whether the list is static or paginated, or roughly what each entry contains (exchange name, acronym, MIC, asset class).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence earns its place, but the second is padded marketing prose ('comprehensive overview of global stock exchanges', 'for further analysis') that repeats the first sentence's meaning without adding operational detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, zero-parameter, read-only lookup the description is adequate but incomplete: with no output schema present, the agent gets no indication of the shape of a returned exchange record or whether the list is bounded, which is the main thing that would help it plan subsequent calls.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. It correctly does not invent parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: it returns the complete list of supported stock exchanges from the FMP Available Exchanges API. It does not distinguish itself from the related sibling searchExchangeVariants or the parallel getAvailableCountries/getAvailableSectors/getAvailableIndustries family, but the purpose itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use or when-not-to-use guidance and no mention of alternatives such as searchExchangeVariants. The trailing clause about 'filter data by specific exchanges' hints at downstream use but gives no selection criteria for an agent choosing between exchange-related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds that the list is comprehensive and tied to the FMP Available Industries API, but it does not describe response shape, caching, rate limits, or any other behavioral detail beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded and only two sentences long. The second sentence is slightly promotional ('for more focused research and analysis') and could be trimmed, but it does not obscure the main point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and rich annotations, the definition is mostly complete for invocation. However, with many sibling list tools and no output schema, the description does not clarify what the returned industry list actually contains or how it differs from other industry-related list endpoints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero input parameters, so there are no parameter semantics to document. The schema coverage is 100%, and the description appropriately adds no unnecessary parameter detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific action and resource: accessing a comprehensive list of industries where stock symbols are available. It is clear what the tool returns, but it does not distinguish this list from sibling tools such as getAvailableSectors, getAvailableCountries, or getIndustryClassificationList.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for filtering and categorizing companies by industry, which gives some context for when to use it. However, it gives no explicit guidance on when to choose this tool over the many sibling industry, sector, and classification list tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered. Beyond that the description adds almost nothing: it does not say the result is a static reference list with no filtering, nor what a sector entry looks like, nor that the data is external to the user's workspace (which openWorldHint alone does not explain). Marketing phrasing substitutes for operational detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is front-loaded and earns its place, but the second sentence is promotional filler ('enabling deeper analysis and more focused queries') that conveys no actionable information. Roughly half the text is waste, though the total length is short.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter reference-list tool with annotations covering the safety profile and no output schema, the description is adequate but thin. It omits any sense of what the returned sectors contain or how they relate to the industry-level sibling, which is the one piece of context an agent would actually need.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to clarify; the baseline of 4 applies. The description implies the call is unconditional (no filtering options), which is consistent with the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Access a complete list of industry sectors'), so the basic purpose is clear. However, it never distinguishes itself from the near-identical sibling getAvailableIndustries, and the phrase 'industry sectors' blurs the line between the two taxonomies. An agent could not confidently choose between them from this text alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of alternatives such as getAvailableIndustries or getIndustryClassificationList, and no stated prerequisites. The second sentence ('helps users categorize and filter companies') only implies a use case rather than directing the agent to this tool over a sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds only that the data is growth-oriented and multi-company; it does not disclose the company universe, result size, pagination, or other bulk-specific behavior that an agent would need to invoke it confidently.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The definition is a single front-loaded sentence that states the resource and scope efficiently. The trailing 'enabling detailed analysis' clause is mildly promotional but does not obscure the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a two-parameter bulk read endpoint whose annotations cover safety and whose schema documents both inputs. However, for a bulk financial data tool with no output schema, it omits important context such as whether all companies are returned and how this differs operationally from the singular growth endpoint.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with clear descriptions for year and period. The description reinforces the temporal dimension ('changed over time') but adds no new syntax or meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: retrieve balance sheet growth data across multiple companies. The word 'Bulk' and 'multiple companies' distinguish it from the singular growth endpoint, though it does not explicitly name the sibling alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for bulk, multi-company analysis through phrases like 'Bulk API' and 'across multiple companies.' It does not explicitly state when to choose this over getBalanceSheetStatementGrowth or getBalanceSheetStatementsBulk, so guidance remains inferred rather than direct.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered by structured data. The description adds the data domain (assets, liabilities, shareholder equity) but nothing operational — no default reporting cadence, no pagination or result-window behavior despite the limit parameter, and no note on whether statements are standardized or as-filed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, but the second ('Analyze assets, liabilities, and shareholder equity to gain insights into a company's financial health') is marketing framing rather than operational information an agent can act on. The actionable content is limited to the first clause, so roughly half the text does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and three parameters, the description should convey at least the shape of the return (statement periods, line items, currency basis) and the difference from the TTM/as-reported/growth variants. It delivers neither, leaving the agent to guess at what a 'detailed' statement contains.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with symbol, period (enumerated Q1–Q4/FY), and limit (default 100, max 1000) all documented in the schema. The description adds no meaning beyond that — it never mentions period selection or result limits — so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (detailed balance sheet statements) and the domain (publicly traded companies), so an agent knows what is returned. It does not, however, distinguish this from near-identical siblings such as getBalanceSheetStatementTTM, getBalanceSheetStatementGrowth, or getBalanceSheetStatementAsReported, which is the main ambiguity risk given this sibling set.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: nothing says whether this returns annual or quarterly statements by default, how it relates to the TTM/growth/as-reported variants, or when an agent should reach for a sibling instead. The only hint is the generic 'analyze ... financial health' phrasing, which does not route a selection decision.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds provenance context — that figures are reported directly by the company from official filings, i.e. unrestated — which helps interpretation, but says nothing about pagination, default result ordering, or how many periods are returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, with the core purpose front-loaded. The second sentence largely restates the first in vaguer terms ('detailed financial data on assets, liabilities, and equity') and could be replaced with genuinely differentiating information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only single-symbol statement fetch with fully documented parameters and no output schema, the description covers what the tool returns at a high level. The notable gap is how 'as reported' differs materially from the standardized statement endpoint, which an agent would need to choose correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with symbol, period (annual/quarter enum), and limit (default 100, max 1000) all documented in the schema. The description adds no additional meaning about parameter behavior, which is acceptable given the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: retrieve balance sheet statements 'as reported by the company', with the data domain spelled out (assets, liabilities, equity from official filings). The 'As Reported' framing implicitly separates it from the standardized getBalanceSheetStatement sibling, but it never names that sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance, no statement of when to prefer this over getBalanceSheetStatement, getBalanceSheetStatementTTM, getBalanceSheetStatementsBulk, or getFinancialStatementFullAsReported, and no mention of required inputs or constraints. Usage is only inferable from the 'as reported / official filings' phrasing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds nothing beyond that: it does not say whether growth is expressed as percentages or absolute currency, which reporting periods are covered, or how the data is sourced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the core action, and the second sentence usefully enumerates the item categories covered. Minor waste in naming 'the Balance Sheet Statement Growth API', which only restates the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-parameter read-only endpoint with a fully described schema and no output schema, the description is minimally adequate. It still leaves the agent guessing about the unit and form of the returned growth figures, which matters for interpreting results even if not for invoking the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so symbol, limit, and the period enum are fully documented in the schema, establishing the baseline of 3. The description adds no extra meaning about parameter behavior, such as how period interacts with limit or default ordering.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: analyzing growth of balance sheet items (assets, liabilities, equity) over time. It is clear what the tool returns in kind, but it never distinguishes it from close siblings such as getBalanceSheetStatement (raw values), getFinancialStatementGrowth, or getBalanceSheetGrowthBulk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance: no statement that this is for period-over-period growth rather than raw statement values, no comparison to the other growth or bulk endpoints, and no note that symbol is required or how period/limit affect results.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=true, so the safety and idempotency profile is covered. The description adds which figures come back (assets, liabilities, equity) but says nothing about the result's scope – all covered companies for that year and period? – nor about pagination, result size, or rate limits, which matter for an open-world bulk endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences with noticeable marketing filler ('comprehensive access', 'ideal for comparing'). The most actionable fact – that the output is keyed only by year and period – is absent while promotional framing takes its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter, no-output-schema tool the description covers the topical purpose, but it omits the one thing an agent needs to call it correctly: that omitting a symbol means fetching every company's balance sheet for that period, which has large response implications. Adequate but with a clear gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with both parameters (year, period) documented including the period enumeration, so the baseline is 3. The description adds no meaning beyond the schema – notably it never says the parameters act as the dataset selector across all companies rather than as filters on a symbol.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('retrieving balance sheet data') with an explicit bulk/multi-company scope, which separates it from the single-company getBalanceSheetStatement sibling. However, it never reveals that the operation is keyed by year and period rather than by symbols, which is the defining characteristic of this tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Ideal for comparing the financial health and stability of different companies on a large scale' hints at when to use it (bulk comparison rather than single-company lookup), but no alternative is named and no exclusion is stated. An agent must infer that it should prefer getBalanceSheetStatement for a single symbol.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds the post-market scope and enumerates the payload fields (bid, ask, volume), which is useful but thin. Nothing is said about rate limits, batching size limits, or behavior for invalid symbols.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the action and resource. Minor waste in the vendor-branded phrase "with the FMP Batch Aftermarket Quote API" and the vague "other relevant data," but nothing materially distracting.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter batch quote read with no output schema, the description covers the domain (post-market), the multi-symbol scope, and the kind of values returned. An agent has enough to call it correctly; only edge-case behavior is unaddressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single required parameter, and the schema already documents "Comma-separated list of stock symbols." The description adds no format, limit, or normalization detail beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: "Retrieve real-time aftermarket quotes for multiple stocks." The word "multiple" plus "batch" distinguishes it from the single-symbol getAftermarketQuote and from regular-hours getBatchQuotes listed among its siblings. It stops short of naming those siblings outright.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the phrase "during post-market trading," which tells the agent this is not a regular-session quote tool. There is no explicit statement of when to prefer it over getAftermarketQuote (single symbol) or getBatchQuotes (regular hours), and no prerequisites or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds only that multiple companies are returned in a single request; it says nothing about symbol-count limits, error behavior for invalid tickers, or response shape, which are the behavioral facts a batch caller actually needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The core capability is front-loaded in the first sentence, which is good. The second sentence, however, restates the same idea in marketing language ('streamlining the analysis of company valuations') without adding operational information, so the text is padded rather than wasted entirely.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple one-parameter read tool with full schema coverage and annotations that carry the safety profile, and no output schema exists to require return-value explanation. What an agent needs to call it correctly is present; only optional details such as symbol limits and return fields are absent, which is a minor gap for this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single 'symbols' parameter is documented as a comma-separated list of stock symbols. The description reinforces the multi-symbol nature ('multiple companies in a single request') but adds no format example, no maximum symbol count, and no delimiter guidance beyond what the schema already states, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Retrieve market capitalization data for multiple companies in a single request,' which clearly conveys a batch read of market cap. It implicitly contrasts with the single-symbol getMarketCap and getHistoricalMarketCap siblings through the word 'batch,' but never names them explicitly, leaving the differentiation to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It offers an implied use case, 'compare the market size of various companies simultaneously,' but gives no explicit when-to-use guidance, no exclusions, and no pointer to the single-symbol alternative. An agent can infer batch usage but must decide on its own when batching is preferable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety and idempotency profile is covered. The description adds that data is real-time and batch-scoped, but says nothing about symbol-count limits, rate limits, or what 'detailed data' actually comprises, so the disclosure beyond annotations is modest.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The core capability is front-loaded in the first sentence. The second sentence partly restates the same batch benefit ('track large portfolios or monitor multiple stocks simultaneously'), which is mild padding but not damaging.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With one well-documented parameter, no output schema, and annotations carrying the safety profile, the description covers enough to call the tool correctly. Only secondary details, such as how many symbols are accepted and how 'detailed' data differs from the Short variant, are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single required 'symbols' parameter that is fully documented as a comma-separated list. The description only echoes the multi-company idea ('multiple companies at once') without adding format, maximum count, or case-sensitivity hints, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Retrieve multiple real-time stock quotes in a single request' via the FMP Stock Batch Quote API, and names what is returned (current prices, volume, detailed data). It does not, however, distinguish itself from the many quote siblings such as getBatchQuotesShort, getQuote, or getQuoteShort, so an agent cannot tell from the text alone when batch-detailed beats short.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the phrase 'making it easier to track large portfolios or monitor multiple stocks simultaneously', which suggests the multi-symbol case but gives no explicit when-to-use criteria or exclusions. There is no mention of when to prefer getBatchQuotesShort, getQuote for a single symbol, or the aftermarket batch variants.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds that data is real-time and that the payload is a trimmed snapshot (price, change, volume), which is useful context beyond the annotations. It does not mention symbol-count limits, rate limits, or what happens with invalid symbols.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences that front-load the core purpose and then the payload contents; nothing is redundant. Slight marketing phrasing ('quick snapshot', 'streamlined request') costs a little precision but not much space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only tool with full schema coverage and annotations, the definition covers the essentials. It is missing the two things that matter most here: how 'short' differs from the full batch quote endpoint, and any limit on the number of symbols per request.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with the single `symbols` parameter documented as a comma-separated list, so the baseline is 3. The description confirms multi-symbol usage but adds no formatting details, delimiter edge cases, or maximum batch size beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb and resource ('Access real-time, short-form quotes for multiple stocks') and names the underlying FMP batch short-quote endpoint, so the purpose is unambiguous. It stops short of distinguishing this from the sibling getBatchQuotes (full) or getQuoteShort (single), which an agent would need in order to pick correctly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'for several companies in one streamlined request' implies batching is the point, but there is no explicit when-to-use guidance and no exclusion against getBatchQuotes, getQuoteShort, or getExchangeQuotes. The agent is left to infer the short-vs-full distinction from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish a safe, read-only, idempotent, open-world operation, so the description only needs to add operational context. It adds the bulk/multi-company scope but does not explain limits, response shape, or what 'bulk' includes. Given annotation coverage, a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the purpose and then the intended use. Some marketing phrasing ('allows you to', 'ideal for') could be trimmed, but nothing is seriously bloated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple and the two required parameters are fully described in the schema; the description adds the multi-company bulk scope. No output schema exists, but the description gives enough of the return category for an agent to know what it retrieves, though it could specify the shape of growth metrics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so year and period are already documented by the schema. The description adds no parameter-level meaning, such as period value constraints or how the year/period pair filters the bulk result.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('retrieve') and resource ('bulk growth data for cash flow statements') and clarifies the scope as multiple companies simultaneously. It distinguishes itself from the singular growth tool through the bulk/multiple-company wording, though it does not name the sibling explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear context ('ideal for analyzing cash flow growth trends of multiple companies simultaneously'), which implies when to choose the bulk endpoint over the single-company one. It does not state exclusions or name the alternative tool explicitly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered by structured data. The description adds no behavior beyond that: it does not say which reporting periods are returned, whether values are annualized, how pagination interacts with the limit, or what happens for a symbol with no filings.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource, but the second sentence ('evaluate the financial health and sustainability of a business') is investor-facing marketing that gives an agent no operational information. It is short but not dense.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-parameter read-only lookup with a fully documented schema and no output schema, the definition is technically callable. However, an agent still cannot tell whether this returns annual or quarterly statements by default, nor why it should pick this over the TTM or Growth siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with symbol, period enum, and limit all documented inline, so the baseline is 3. The description adds nothing about how period interacts with the result set or what unit the cash flow figures use, but it does not mislead either.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (cash flow statements) but opens with vague marketing framing ('Gain insights into...') rather than a specific verb like 'retrieve'. It never distinguishes this from close siblings such as getCashFlowStatementTTM, getCashFlowStatementGrowth, getCashFlowStatementAsReported, or getCashFlowStatementsBulk, leaving the agent to guess which variant it needs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no reference to any alternative tool. Given that the sibling list contains four other cash-flow variants, this omission is material rather than cosmetic.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety and repeatability are covered. The description adds provenance context (company-reported rather than standardized figures), which is genuinely useful, but says nothing about the 1000-result cap, pagination, or result ordering.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource and scope. The second sentence largely restates the first with promotional framing ('Analyze a company's cash flows related to operations, investments, and financing') and earns only partial credit for the 'official reports' provenance detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A simple read tool with full schema descriptions, annotations, and no output schema, so most burden is covered elsewhere. The remaining gap is significant given the crowded sibling set: nothing tells the agent why to pick this over getCashFlowStatement or the As-Reported income/balance sheet variants.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%: symbol, period enum (annual/quarter), and limit with default 100 and max 1000 are all documented in the schema. The description adds no meaning beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('View cash flow statements as reported by the company') and signals provenance ('directly from official reports'), which distinguishes it in spirit from getCashFlowStatement. However, it never names the normalized/TTM siblings it must be told apart from, so the differentiation is implied rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The second sentence implies a use case (analyzing operating, investing, and financing cash flows from official filings) but gives no when-to-use versus when-not, and never mentions getCashFlowStatement, getCashFlowStatementTTM, or getCashFlowStatementGrowth as alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only, idempotent, and open-world behavior, so the description only needs to add operational context. It clarifies that the tool measures growth over time, but it does not disclose return granularity, units, or how period/limit affect the result.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences and front-loads the core purpose. The second sentence is somewhat redundant but still supports the use case without excess wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-parameter read-only financial data tool with full schema coverage and annotations, the description is sufficiently complete. It could say more about the returned growth series, but it is adequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so symbol, period, and limit are already documented in the schema. The description adds no parameter-specific meaning beyond that baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: measuring the growth rate of a company's cash flow statement. It clearly distinguishes growth from the raw cash flow statement by name, but it does not explicitly name sibling tools or alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies trend analysis by saying it determines how quickly cash flow is increasing or decreasing, but it gives no explicit when-to-use guidance, no exclusions, and no alternatives such as getCashFlowStatement or getFinancialStatementGrowth.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. Beyond that the description adds nothing behavioral: it does not say how many companies are returned, whether the payload is paginated or large, whether missing/foreign filers are included, or how results are ordered. For a 'bulk' endpoint, result volume is the single most important behavioral fact and it is absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the second sentence rephrases the first ('provides access to detailed cash flow reports' / 'enables users to retrieve bulk cash flow statement data') and adds only a generic analytical benefit. Half the text does not earn its place, and the useful word 'bulk' is not front-loaded with an explanation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and a 'bulk' retrieval tool, the description should convey what comes back and at what scale, and it does not. An agent cannot tell from this definition whether the call returns thousands of records, whether it needs further pagination, or what to do with the year/period pair beyond what the schema already says.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% — year and period are documented in the schema, including the Q1–Q4/FY period format. The description adds no meaning beyond that, not even confirming that these two parameters define the entire bulk scope. Baseline 3 applies when the schema carries the parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (cash flow statements) and the 'bulk' modifier, which hints at the difference from the single-company getCashFlowStatement sibling. However, it never states what 'bulk' concretely means — all companies for a period, a fixed universe, or a paged list — so the scope of the retrieval stays vague. The second sentence largely restates the first in marketing terms rather than sharpening the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all, despite many close siblings (getCashFlowStatement, getCashFlowStatementTTM, getCashFlowStatementGrowth, getCashFlowStatementAsReported, getCashFlowGrowthBulk). Nothing tells the agent when the bulk variant is preferable to the single-symbol one, nor any exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. Beyond that, the description adds nothing: it does not explain what TTM means here (rolling four quarters vs. most recent fiscal year), what period or currency the figures are in, or whether the response is a single statement or a time series. For a financial-data read tool this is a meaningful gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no bloat, and reasonably front-loaded. However, the wording is generic marketing copy ('Gain insights into...') that spends its space on the category rather than on the one thing that differentiates this endpoint, which is the TTM basis.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description should carry the burden of explaining what comes back, and it does not. It also leaves the TTM concept unexplained, which is the single most important thing an agent needs to know to select this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with symbol ('Stock symbol') and limit (default 100, max 1000) both documented in the schema, so the baseline of 3 applies. The description adds no extra meaning, such as whether limit applies to periods returned or whether symbol accepts only US tickers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description describes the general category of cash flow data ('Analyze cash generated and used from operations, investments, and financing activities') but never states the defining characteristic of this tool: that it returns trailing-twelve-month figures. It reads like boilerplate for the whole Cash Flow Statements API, so an agent cannot tell it apart from siblings such as getCashFlowStatement, getCashFlowStatementGrowth, getCashFlowStatementAsReported, or getCashFlowStatementsBulk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage framing is the vague goal of evaluating 'financial health and sustainability'. There is no guidance on when to prefer TTM over the annual/quarterly getCashFlowStatement, over the growth variant, or over the bulk endpoint, despite a very crowded sibling set of near-identical names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds that data is real-time and names the returned fields (prices, changes, volumes), which is useful, but it omits the important behavioral fact that the call takes no symbol and therefore presumably returns the whole commodity universe.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the verb and resource, no wasted framing. The trailing list ('oil, gold, and agricultural products') and the 'up-to-the-minute' marketing phrasing are slightly padded but not harmful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and a single optional parameter, the description should clarify what the call returns and how many quotes come back; it hints at fields but not cardinality or scope. Adequate for a simple read, but leaves the agent guessing whether a symbol is needed given the required-parameter count is zero.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one optional parameter exists and its schema description coverage is 100%, so the schema does the heavy lifting. The description never mentions the 'short' output-format flag, and the schema's own wording ('Whether to use short format') is thin, so no additional meaning is contributed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'Get up-to-the-minute quotes for commodities', which clearly separates it from sibling quote tools like getCryptoQuotes, getForexQuotes, and getIndexQuotes. It does not state scope precisely (all commodities at once, no symbol parameter), but the purpose is unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Track the latest prices, changes, and volumes' implies a real-time monitoring use case, but the description never says when to prefer this over listCommodities, getQuote, or the batch quote siblings, and offers no exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered. The description adds value by disclosing the payload contents (title, compensation, demographics), but says nothing about coverage limits, whether inactive or historical executives are included, or result ordering.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with the core purpose front-loaded, but the second sentence spends words on vendor branding ('with the FMP Company Executives API. This API provides...') and a loose 'other demographic details' catch-all rather than tightening the field list.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read-only lookup with no output schema, the description does the minimum: it sketches the returned fields. It omits the required symbol input, the active-executive filter, and any indication of response shape or whether multiple executives are returned, which an agent would need to plan a call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters are documented in the schema and the baseline of 3 applies. The description adds no meaning beyond it — notably it never mentions the 'active' filter, which is the one parameter whose accepted values (string, no enum) an agent could get wrong.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Retrieve detailed information on company executives') and enumerates the returned fields (name, title, compensation, gender, year of birth). It is clearly distinct from the nearest siblings in spirit, but it never names them (e.g., getExecutiveCompensation, getCompanyProfile) so the differentiation is implicit rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: nothing says to use this for a roster of executives versus getExecutiveCompensation for pay data or getCompanyProfile for general company facts. Nor does it mention that a stock symbol is required or what the 'active' filter is for, leaving the agent to infer both selection and prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered for the agent. The description contributes only a partial picture of the payload ('market capitalization, stock price, industry, and much more') without disclosing whether this is a premium endpoint, what authentication/entitlement is required, or how large/fresh the returned profile is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource and its scope, with no redundant instructions. The second sentence spends words naming the vendor API and ends in the vague filler 'and much more', which is mild padding but not damaging.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only lookup with full schema coverage, no output schema, and safety annotations already present, the description supplies enough for correct invocation. The remaining gap is only the unenumerated payload contents and any entitlement caveats, which are secondary for a simple profile fetch.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single 'symbol' parameter, so the schema already carries the semantics and the baseline is 3. The description restates that the symbol identifies a stock but adds no format guidance (exchange suffix, casing, delisted tickers) beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb ('Access') and resource ('detailed company profile data') scoped to 'a specific stock symbol', and lists representative fields (market cap, price, industry). However, it never distinguishes itself from near-neighbors in this dense sibling set such as getCompanyProfileByCIK, getCompanyProfilesBulk, or getCompanySymbols.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a specific stock symbol' implicitly tells the agent this is the single-symbol lookup and requires a ticker, which argues against the bulk or CIK variants. But there is no explicit when-to-use/when-not guidance and no named alternative, so the routing decision is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety and repeatability profile is covered structurally. The description adds value by enumerating the payload contents (stock price, market capitalization, industry), giving a sense of the return shape despite no output schema. It discloses nothing about auth requirements, rate limits, or behavior when the CIK is unknown.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose, which is good, but the second sentence largely restates the first ('search for companies using their unique CIK identifier' repeats the CIK lookup) and the vendor/API name is repeated twice. Roughly half the text is marketing padding rather than operational detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with full annotation coverage and no output schema, the description is adequate: it names the key, lists representative returned fields, and makes the lookup mode unambiguous. The remaining gap — CIK formatting expectations — is minor relative to the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single 'cik' parameter, so the baseline is 3. The description expands the acronym to 'Central Index Key', which is mild added meaning, but it does not say whether the CIK must be zero-padded to ten digits or accepted as a bare integer — the most likely source of caller error.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Retrieve detailed company profile data') plus the exact lookup key ('by CIK'), which distinguishes it from the symbol-based getCompanyProfile without needing to open a schema. It stops short of explicitly naming that sibling, so differentiation is implied by the key rather than declared.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer it should call this when it holds a CIK rather than a ticker, and the presence of searchCIK / searchCompaniesByCIK in the sibling list makes that inference reachable. However, no sentence says when to prefer this over getCompanyProfile or searchCompaniesByCIK, and no prerequisites or fallback behavior are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety and retry semantics are covered. The description adds only a field inventory (price, market cap, sector, industry), and is silent on the critical behavior of 'part' pagination — whether you must iterate parts, how many exist, or what happens when a part is out of range.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with the bulk scope front-loaded, which is appropriate for a scan-read. The second sentence drifts into marketing phrasing ('Access essential information, such as...') and lists fields that could be trimmed to a shorter clause.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description does help by enumerating returned fields, but for a one-parameter tool whose parameter is an unintuitive pagination index, the definition leaves the agent without the information needed to iterate calls correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3, but the sole parameter 'part' is documented only as 'Part number (e.g., 0, 1, 2)', which is semantically thin. The description does not explain what a part partitions or how to know the part count, so it adds nothing beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource plus the bulk scope: 'retrieve comprehensive company profile data in bulk' for 'multiple companies in a single request'. It does not name the single-company sibling (getCompanyProfile / getCompanyProfileByCIK), so an agent must infer when bulk is preferable, but the purpose itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied usage only: the phrase 'for multiple companies in a single request' hints that this is the multi-entity variant of the profile endpoints. There is no explicit when-to-use vs. getCompanyProfile, no guidance on passing a symbol list, and no mention of how many companies a single call covers.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the informational content of the response (executives, contacts, financial data), but says nothing about coverage of SEC filings, data freshness, or whether the identifiers must match — modest value beyond structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler sentences. Slightly padded by the trailing 'with the FMP SEC Company Full Profile API' clause, which names a vendor endpoint rather than telling the agent anything actionable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description is the only source of return-value info, and listing the data categories partially covers that. But for a tool with zero required parameters and 150+ siblings, missing guidance on identifier selection and on differentiation from getCompanyProfile leaves a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with only two simple parameters (cik, symbol), so the schema already carries the parameter documentation burden. The description adds no meaning beyond it — notably it does not clarify whether symbol and CIK are alternatives, whether both may be supplied, or how conflicts resolve.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Retrieve) and resource (company profiles) and enumerates the payload contents (business descriptions, executive details, contact info, financial data). However, it never distinguishes the tool from close siblings like getCompanyProfile and getCompanyProfileByCIK; the only differentiating signal is the phrase 'SEC Company Full Profile API', which requires the agent to infer the difference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all. The description does not say when to pick this over getCompanyProfile, getCompanyProfileByCIK, or getCompanyExecutives, nor does it explain how the CIK vs symbol identifiers interact given that neither is required.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety and repeatability are covered without help from the text. The description adds some context that the list is organized by market segments and spans many commodities, but it does not say whether the list is static or live, or what a list entry represents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence carries the substance and is reasonably front-loaded. The second sentence largely restates it ('retrieve and explore COT reports for a wide variety of commodities and financial instruments') without adding actionable detail, and the API-name reference is padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple no-argument listing endpoint with no output schema, the description should say what the list contains (report names, commodity codes, release dates?) and that its output is meant to feed a follow-up call. It gestures at breadth but never describes the shape or intended downstream use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there is nothing for the description to disambiguate and the baseline applies. The mention of filtering by commodity or futures contract is not backed by any schema parameter, which is a mild noise, but no parameter documentation is required here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a resource (a list of available COT reports) and implies it is a catalog rather than report data, which is roughly the right idea. However, it never distinguishes itself from the close siblings getCOTReports and getCOTAnalysis, and the phrase 'by commodity or futures contract' suggests a filtering capability that a zero-parameter tool cannot have.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus getCOTReports or getCOTAnalysis, which are the obvious alternatives for COT data. The agent is left to infer that this is a discovery/reference endpoint whose output would feed a subsequent data fetch.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. Beyond that the description adds essentially nothing: no indication of pagination or result limits, no ordering, no note on what happens when the CIK has no campaigns or is invalid, and no sense of result size for a read-only open-world API call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the action and the scoping dimension, with no filler. It is lean but borders on thin, since brevity here comes partly from omitting useful detail rather than from tight editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one required string parameter, no output schema, annotations covering safety), so the description does not need to explain return values. However, an agent still lacks guidance on choosing between this and the other crowdfunding endpoints, which is the main completeness gap for an otherwise minimal tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single 'cik' parameter, so the baseline is 3. The description only reinforces that the CIK identifies a company; it adds no format hints (e.g. zero-padding, numeric-only string) beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('Access detailed information on all crowdfunding campaigns') and scopes it to a company identified by CIK, which separates it from the retrieval-by-recency and search-based siblings. It stops short of explicitly naming those siblings, so the differentiation is implied rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'launched by a specific company with the... CIK' implies the usage condition: call this when you already have a CIK. There is no explicit when-not guidance and no reference to getLatestCrowdfundingCampaigns or searchCrowdfundingCampaigns, so the agent must infer which of the three to pick.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description then adds a potentially misleading claim of 'real-time' data even though the schema exposes from_date/to parameters, implying historical range queries, and it says nothing about range limits, timezone handling, or response shape for an intraday bar series.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the tool's purpose, which is good. The second sentence is largely promotional ('optimize trading strategies') and could be replaced with operational detail that actually helps an agent call the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should carry more weight about what comes back from a 5-minute series and any interval/range constraints. Annotations cover the safety profile and the schema covers the parameters, so nothing critical is missing, but the 'real-time' framing against date-range parameters leaves the agent's expectations underspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so symbol, from_date and to are already documented with the YYYY-MM-DD format and BTCUSD example. The description adds no meaning beyond that baseline, such as default range when from_date is omitted or the maximum span allowed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the specific resource and granularity ('5-Minute Interval Cryptocurrency Data', 'intraday price data for cryptocurrencies'), so an agent knows it retrieves 5-minute bars. It does not explicitly differentiate itself from close siblings like getCryptocurrency1MinuteData or getCryptocurrency1HourData, leaving that distinction to the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied through phrases like 'short-term price trends' and 'rapid market movements', which hint at intraday analysis. There is no explicit statement of when to choose this over the 1-minute or 1-hour variants, nor any prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety and repeatability are covered without description help. The description adds useful content-level context by naming the returned fields (prices, market changes, trading volumes), but says nothing about rate limits, quote freshness/latency, or which exchanges/assets are covered despite advertising 'real-time' data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences that are front-loaded with the core purpose, but the vendor/API name ('FMP Real-Time Cryptocurrency Batch Quotes API') is filler and the second sentence largely restates the first with a slightly different field list. Tighter phrasing would earn the same information in half the space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, annotation-covered read tool with one optional parameter and no output schema, the description is adequate: it conveys that all crypto assets are returned in one call and what kind of data comes back. It is missing the short-vs-full quote behavior and any statement of coverage or result shape, which would matter since there is no output schema to fall back on.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is exactly one optional parameter ('short') and schema description coverage is 100%, so the schema fully documents it. The description never mentions the short/full quote distinction, meaning it adds no meaning beyond the schema; the baseline of 3 applies when the schema does the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb+resource combination (live price data / batch quotes for cryptocurrencies) and states the scope as 'a wide range of cryptocurrencies ... in a single request', which implicitly separates it from the single-symbol getCryptocurrencyQuote and getCryptocurrencyShortQuote siblings. However, it never names those siblings explicitly, so the distinction relies on the word 'batch' in the name and the phrase 'single request'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'In a single request' for 'a wide range of cryptocurrencies' implies the batch use case, so an agent can infer this is for multi-asset snapshots rather than per-symbol lookups. There is no explicit when-to-use, when-not-to-use, or pointer to getCryptocurrencyQuote / getCryptocurrencyShortQuote for single assets, leaving routing to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered. The description adds real context beyond that by disclosing data granularity (end-of-day) and that trading volumes are included, but says nothing about pagination, rate limits, maximum history depth, or what happens when from_date is omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core capability and data granularity. The second sentence is partly marketing filler ('inform strategic decisions') but does earn some place by naming the analysis dimensions (trends, market movements, volumes) the data supports.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations covering data shape, the description should explain what a record contains (OHLCV bars, one row per day) and whether the date range is optional. It hints at price and volume but leaves the return shape and default date behavior unspecified, which matters for a three-parameter historical data tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so symbol, from_date and to are already documented with formats and an example. The description adds only a loose implication that a date range governs the result, with no additional syntax, default, or boundary behavior beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: retrieve comprehensive end-of-day (EOD) price data for cryptocurrencies over the full history. The word 'Full' plus 'end-of-day' implicitly separates it from the intraday siblings (getCryptocurrency1MinuteData, 5Minute, 1Hour) and from getCryptocurrencyHistoricalLightChart, but the distinction is never made explicit, so an agent must infer it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied through the phrase 'Analyze long-term price trends,' which signals long-horizon analysis rather than intraday work, but the description never names the LightChart or intraday alternatives or states when not to use this tool. An agent could reasonably pick this over getCryptocurrencyHistoricalLightChart with no guidance on the trade-off.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds only that data is 'real-time', which is mildly useful freshness context, but says nothing about rate limits, data source latency, or what the response contains beyond a field list.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the core capability front-loaded. There is minor vendor-marketing filler ('with the FMP Full Cryptocurrency Quote API', 'comprehensive'), but nothing that buries the main point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only quote tool with no output schema, this is borderline adequate: it enumerates the price fields returned (current, high, low, open). However, the misleading 'all cryptocurrencies' scope statement and absence of any routing guidance leave gaps for an agent in a large crypto tool family.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single parameter is documented in the schema ('Cryptocurrency symbol (e.g., BTCUSD)'), so the baseline of 3 applies. The description adds no meaning beyond the schema and arguably muddies it by implying coverage of all cryptocurrencies rather than one symbol.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It states a verb and resource ('Access real-time quotes for all cryptocurrencies'), but 'for all cryptocurrencies' conflicts with the schema's required single 'symbol' parameter and blurs the line with siblings like getCryptocurrencyBatchQuotes and getCryptoQuotes. It never names those siblings, so the agent can't confidently separate this tool from the batch/short variants.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no mention of alternatives. Given the crowded crypto sibling set (short quote, batch quotes, quotes, historical charts), an agent has no stated rule for choosing this one over getCryptocurrencyShortQuote or getCryptocurrencyBatchQuotes.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful output-shape context (curated multi-source articles with headlines, snippets, and URLs), which matters because there is no output schema, but it says nothing about result volume, pagination, or recency ordering.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, one of which is marketing framing ('Stay informed with...') that carries no operational information. The second sentence does real work by naming the returned fields, but the whole thing would be stronger if the return shape were front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool with annotations covering safety, the description is adequate—and the field listing partially compensates for the missing output schema. It is still silent on pagination limits, default recency behavior, and the relationship to the searchCryptoNews sibling, which an agent would need to invoke it well.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (from_date, to, page, limit) are already documented with formats and defaults in the schema. The description contributes no additional meaning such as how dates interact with the news window or how paging behaves across large result sets, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource (latest cryptocurrency news articles) and adds concrete content detail: headlines, snippets, and publication URLs. It does not differentiate from near-identical siblings such as searchCryptoNews, getGeneralNews, or getForexNews, leaving the agent to infer why this one is the right pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of alternatives like searchCryptoNews for keyword-filtered retrieval, and no statement of what happens when no date range is supplied. The agent must guess whether this returns the newest articles by default or everything.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety and freshness profile is covered. The description adds that quotes are real-time and enumerates the fields exposed (price, volume, change), which is useful context beyond annotations, but says nothing about symbol coverage, batching, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two front-loaded sentences naming the capability and the data returned, with no filler. Minor vendor boilerplate ('with the FMP Full Cryptocurrency Quotes API') that adds little for an agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-required-parameter read tool with full schema coverage and no output schema, the description is adequate but thin: it never resolves the ambiguity with its many crypto quote siblings or explains what 'short' produces.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'short' parameter has 100% schema description coverage, so the schema already carries the semantics and baseline 3 applies. The description never mentions the short/full format distinction, missing an opportunity to clarify its only knob.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (access real-time cryptocurrency quotes) and names the data returned (prices, volume, price changes). However, it does not distinguish this from near-identical siblings like getCryptocurrencyQuote, getCryptocurrencyShortQuote, or getCryptocurrencyBatchQuotes, leaving the agent unsure which endpoint to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus getCryptocurrencyQuote or getCryptocurrencyShortQuote, and no explanation of when the 'short' option applies despite a dedicated sibling existing for short quotes. The agent must infer selection from name similarity alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description contributes that the result set spans "all listed companies" and includes implied price movement and percentage differences, which hints at an unfiltered, potentially large response, but it says nothing about cost, rate limits, pagination or filtering behavior for a zero-parameter universe-wide call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with what is retrieved and followed by what comes back. Minor waste in the marketing phrasing "enables users to quickly retrieve" instead of a direct verb, but no sentence is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description must carry the return-shape burden, and it only sketches two fields (implied price movement, percentage difference) without saying what the records key on. For a universe-wide bulk endpoint, missing response size, ordering or truncation behavior is a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate and the baseline applies. It does correctly convey that scope is fixed (all listed companies) rather than selectable, which is the only semantic an empty schema leaves open.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("retrieve discounted cash flow (DCF) valuations for multiple symbols in one request") and adds the output subject matter ("implied price movement and percentage differences"). The word "Bulk" plus "multiple symbols in one request" implicitly separates it from the single-symbol getDCFValuation sibling, but that sibling is never named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the batch variant to use when it needs many symbols at once rather than one. There is no explicit when-to-use/when-not clause and no mention of the alternatives (getDCFValuation, getLeveredDCFValuation, calculateCustomDCF), so the choice is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety and idempotency are covered without the description's help. The description adds only that results derive from historical price data, saying nothing about the shape of the returned series, the effect of missing/adjusted data, or rate/credit costs for a live external API — and no output schema exists to fill that gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences with the operation front-loaded before the interpretive framing. Nothing is redundant, though the second sentence is the least informative part of the definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only calculation tool with a fully documented five-parameter schema, the essentials are present, but with no output schema the description should say what comes back (a dated series of DEMA values) and how it relates to the requested date range. As written, an agent knows what to send but not what to expect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and all five parameters (symbol, periodLength, timeframe, from_date, to) are documented in the schema, including the allowed timeframe values. The description adds no meaning beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('Calculate the Double Exponential Moving Average (DEMA) for a stock') and supplies the underlying endpoint (FMP DEMA API), so the operation is unambiguous. However, it never distinguishes itself from the many sibling indicators (getEMA, getTEMA, getWMA, getSMA), leaving an agent to infer which moving-average variant to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage framing is generic ('helps users analyze trends and identify potential buy or sell signals'), which would apply equally to every indicator sibling. There is no statement of when DEMA is preferable to getEMA or getTEMA, no prerequisites, and no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the meaningful behavioral context that prices are dividend-adjusted, but it says nothing about date-range defaults, maximum span, or response format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two reasonably tight sentences front-loading the dividend-adjustment distinction. The second sentence is somewhat padded marketing language ('more comprehensive view') but not harmful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-parameter read-only chart tool with a fully documented schema and clear annotations, the description covers what the tool returns (EOD price and volume, dividend adjusted). Only date-range behavior limits are missing, which is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with all three parameters documented, so the baseline is 3. The description adds no extra meaning about the from_date/to parameters, such as defaults or limits, beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: dividend-adjusted end-of-day price and volume data for a stock symbol. It clearly distinguishes the tool from plain chart siblings like getLightChart and getUnadjustedChart by naming the dividend adjustment, though it never names those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it — when you need a view of price trends that accounts for dividend payouts — but never states when not to use it or points to the unadjusted/light/full chart alternatives in the sibling list. The choice between adjusted and unadjusted charts is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered; the description adds nothing beyond them, such as whether the payload is a static snapshot, how large the list is, or what fields each constituent carries. Worse, the 'analyze trends' phrasing implies historical capability that a zero-parameter endpoint does not have.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, both reasonably short, but the second is padded marketing copy ('important stock index') and spends its words on capabilities the tool lacks rather than front-loading what it returns. The genuinely informative fragment, the member companies, is buried mid-sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations describing the response, the description is the sole source of information about what comes back, and it fails to say whether the result is a list of tickers, full company profiles, weights, or sector breakdowns. For a data-retrieval tool with an empty input schema, that omission leaves the agent unable to predict the payload.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate at the input layer; the baseline for zero-parameter tools applies. The only shortfall is that it does not clarify whether the result is scoped to a date or is a live snapshot.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The name promises a constituents list, and the description does gesture at 'the companies that make up this important stock index', but it muddles that with 'Track current values, analyze trends', which describes index-quote and historical-chart tools rather than a membership roster. No sibling such as getSP500Constituents or getNasdaqConstituents is acknowledged, so the agent must infer differentiation itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to call this versus getIndexQuote, getHistoricalDowJonesChanges, or the parallel S&P/Nasdaq constituent tools. The imperative 'Track current values, analyze trends' actively points the agent toward use cases this parameterless tool cannot serve.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so safety behavior is covered. The description adds useful scope by saying it covers both upcoming and past announcements and includes estimated/actual EPS, but it omits pagination, default date behavior, and rate-limit or auth context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is only two sentences and front-loads the earnings-calendar purpose. There is some marketing filler such as "Stay informed" and "Access key data," but it remains efficient overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only calendar tool with three optional, fully documented parameters and no output schema, the description gives enough content scope: announcement timing and EPS fields. It could do more to explain default date handling, but the core completeness is solid.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and all three parameters have clear descriptions for date range and report-time inclusion. The description adds no parameter-specific meaning beyond the schema, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the resource and scope clearly: upcoming and past earnings announcements, with announcement dates and estimated/actual EPS. It is more specific than a tautology, but it does not distinguish itself from close siblings such as getEarningsReports or getEarningsSurprisesBulk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the general use case of staying informed about earnings announcements, but gives no explicit when-to-use guidance, exclusions, or alternatives. It never tells an agent when to choose this calendar tool over related earnings-report or transcript tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety profile is covered. The description adds only a hint of returned content (dates, EPS estimates, revenue projections) but no pagination behavior, history depth, or what happens with the limit parameter, so extra value beyond annotations is modest.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the verb, but padded with marketing filler ('in-depth', 'Gain access to', 'help you stay on top of company performance') that consumes space without informing tool selection.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the enumeration of returned fields is genuinely useful and partially compensates. However, for a tool sitting among many earnings-adjacent siblings, the definition does not clarify scope (historical quarterly reports vs. calendar vs. surprises), leaving a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters (symbol, limit with default 100 / max 1000) are documented in the schema. The description mentions the symbol scoping but adds no format or semantic detail beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb ('Retrieve') and resource ('earnings information' / 'Earnings Report API') and enumerates content: earnings report dates, EPS estimates, revenue projections. It does not differentiate from nearby siblings like getEarningsCalendar, getAnalystEstimates, or getEarningsSurprisesBulk, leaving the agent to guess which earnings-flavored tool is right.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'for a specific stock symbol' implicitly signals the per-symbol use case, but there is no explicit when-to-use or when-not-to-use guidance and no mention of the alternatives in a sibling list dense with earnings tools (calendar, surprises, transcript).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds only that the FULL transcript is returned (implying a potentially large text payload), but says nothing about availability gaps, rate limits, or whether missing transcripts error versus return empty.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is front-loaded and useful. The second sentence ('Stay informed about a company's financial performance...') is generic marketing copy that adds no operational information and could be cut without loss.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description could reasonably describe what a transcript record contains (sections, participants, date) or note expected payload size. As written it is adequate but leaves the agent guessing about the return shape for a relatively simple 4-parameter read tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so symbol, year, quarter, and limit are already documented in the input schema. The description adds no meaning beyond that baseline, such as whether quarter accepts 'Q1' versus '1' or how limit interacts with a single-transcript request.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear verb+resource pair ('Access the full transcript of a company's earnings call') and identifies the data provider (FMP). It does not, however, distinguish this tool from close siblings such as getEarningsTranscriptList, getLatestEarningsTranscripts, or getEarningsTranscriptDates, so an agent must infer the distinction from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: retrieving one transcript for a specific company/period. There is no explicit when-to-use guidance, no statement of prerequisites (e.g. the transcript must exist for that symbol/year/quarter), and no routing to the list/dates siblings for discovery.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety and external-dependency profile is covered. The description adds essentially nothing beyond that: it doesn't state what the response looks like, how the from_date/to range defaults if omitted, or what happens when periodLength exceeds available history. With annotations carrying the load, this is thin but not contradictory.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core action and resource, with no redundant restatement of the name. The trailing clause about buy/sell signals is somewhat generic marketing language rather than operational detail, but it is short enough not to be wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple read-only indicator tool with a fully documented schema and no output schema. Because no output schema exists, the description could reasonably say what is returned (e.g., a series of dates with EMA values), but it does not; otherwise the definition is adequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all five parameters (symbol, periodLength, timeframe, from_date, to) are already documented with types and, for timeframe, an enumerated value list. The description adds no additional meaning such as how periodLength interacts with the date range, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.