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

With no annotations, the description adequately describes a simple read operation returning a list. It lacks details on rate limits, permissions, or error behavior but is sufficient for a basic retrieval tool.

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?

Extremely concise: one sentence plus docstring-style args/returns. No wasted words, front-loaded with 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?

While the tool is simple and the output is a list of strings, the description fully covers input semantics and return type. No gaps relevant to its 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?

Despite 0% schema description coverage, the description explains the sector parameter's purpose and default behavior, adding value 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 clearly states the tool retrieves a list of industries with optional sector filtering. It is specific and distinguishes from other industry/sector tools, but does not explicitly contrast with get_sector_industries.

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 explicit guidance on when to use this tool versus alternatives like get_sector_industries. The optional filter is mentioned but not contextualized for decision-making.

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?

With no annotations, the description carries full burden but only says 'Retrieve', implying a read operation. It does not disclose any potential side effects, rate limits, or data format details.

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 concise (two sentences plus docstring format) and to the point, with no unnecessary words.

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 return value is described only as 'Any: Analyst recommendations data from the repository', which is vague. With no output schema, a clearer explanation of the return structure would be expected.

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 0% description coverage, but the description explains the parameter 'ticker' as 'The symbol of the security', adding meaningful context beyond the schema's bare title.

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 the action ('Retrieve') and the resource ('analyst recommendations') for a given ticker. It is specific enough but does not explicitly differentiate from similar sibling tools like get_recommendation_changes or get_price_target.

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 provided on when to use this tool versus alternatives, nor any prerequisites or context.

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?

No annotations are provided, and the description lacks information on side effects, permissions, or data freshness. It only implies a read operation.

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 concise, with clear Args and Returns sections, and contains no redundant 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 single-parameter retrieval tool with an output schema, the description adequately covers purpose, input, and return format.

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 description adds meaning to the ticker parameter by specifying it is 'The symbol of the security,' which is beyond the schema's type and name.

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 the tool retrieves the balance sheet for a given ticker, distinguishing it from siblings like get_income_statement and get_cash_flow_statement.

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 does not provide explicit guidance on when to use this tool versus alternatives, though the name and context of financial reports imply its use for balance sheet data.

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?

With no annotations, the description must disclose behavioral traits. It describes the optional expiration parameter and its default behavior, and the return type. However, it does not explicitly state that it is a read-only operation, nor does it cover error handling, rate limits, or data freshness. The description is adequate but not comprehensive.

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 concise and well-structured with a summary line, Args section, and Returns section. Every sentence adds value, and there is no redundant or extraneous 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?

Given the tool's simplicity, the description covers the essential aspects: purpose, parameters, and return type. The presence of an output schema reduces the burden on the description for return values. However, it could mention that it only returns call options to further differentiate from 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?

The input schema has 0% description coverage, so the description must fully define parameters. It provides clear semantics: ticker is 'the symbol of the security', and expiration is 'the expiration date' with the note that None uses the nearest expiration. This adds complete meaning 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 clearly states that the tool retrieves call options for a given ticker and expiration date. The verb 'Retrieve' and resource 'call options' are specific, and it distinguishes from sibling tools like get_put_options and get_option_chain by focusing only on calls.

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 when call options are needed for a specific ticker and expiration, but it does not explicitly guide when to use this tool over alternatives like get_option_chain or get_put_options. The note about default expiration provides some guidance, but no exclusions or comparisons 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?

No annotations are provided, and the description only states the basic function. It does not disclose any behavioral traits such as rate limits, authentication requirements, data range, or response format beyond the output schema.

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 extremely concise: a one-line purpose plus structured docstring sections for Args and Returns. Every element adds value without redundancy.

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 one parameter and an output schema (implied to define CorporateActions), the description covers the essential information. However, it could be more complete by briefly explaining what constitutes a corporate action (e.g., dividends, splits) or noting common use cases.

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 0% coverage (no parameter description), but the description's Args section adds 'ticker (str): The symbol of the stock,' which clarifies the parameter's purpose beyond the schema. This compensates for the lack of schema details, though examples or format hints are 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 description clearly states 'Retrieve corporate actions for a stock,' specifying the action (retrieve) and resource (corporate actions). This distinguishes it from siblings like get_dividends, get_splits, etc., as corporate actions is a distinct category.

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 provides no guidance on when to use this tool versus alternatives. With 60+ sibling tools covering many financial data types, explicit usage context or comparisons are absent.

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?

No annotations provided. The description states the tool 'retrieve's a proxy value,' implying read-only behavior, but does not disclose any additional behavioral traits like data freshness, limitations, or error conditions.

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 reasonably concise, with a clear purpose sentence and parameter documentation. The Args/Returns format adds structure, though it could be slightly shorter.

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 vaguely states returns 'Proxy value or description,' lacking specifics on format or range. It does not cover potential edge cases or error scenarios for the single parameter.

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 description explains that 'tickers' is an optional list and defaults to a default set, adding meaning beyond the schema which only defines the type. This fully compensates for the 0% schema coverage.

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 the tool retrieves a proxy value for the crypto fear and greed index, using specific verbs and resource. It is distinct from sibling tools which focus on financial data, not sentiment indices.

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 implicitly indicates use for retrieving fear/greed data, but no explicit guidance on when to use or alternatives. Given the uniqueness of the tool, it is adequate.

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?

No annotations exist. The description does not disclose behavioral traits such as rate limits, authentication needs, or data timezone; only lists valid periods/intervals.

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?

Description is concise but follows a docstring style with Args/Returns sections. Could be trimmed slightly, but generally well-structured.

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 the output schema exists (list[CryptoHistory]), return values are defined. Parameters are fully documented. No annotations present, but for a simple retrieval tool, completeness is high.

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 0%, but the description adds meaning to all parameters: ticker is the symbol, period is a time period with valid options listed, interval is data interval with list. Provides defaults and valid values.

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?

Description clearly states the tool retrieves historical price data for a cryptocurrency, using a specific verb and resource. It distinguishes itself from siblings like get_history (non-crypto) and get_crypto_info.

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 implied by the description but no explicit when-to-use or when-not-to-use guidance is provided against sibling tools like get_history.

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?

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It describes the action as 'retrieve', implying a read operation, but does not detail rate limits, caching behavior, or any side effects. The return type is mentioned but without specifics on what fields are included, leaving the agent with limited information.

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 extremely concise, with two sentences and a clear docstring structure. Every part serves a purpose: stating the action, specifying the parameter with example, and noting the return type. No unnecessary words or repetition.

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 the tool's simplicity (one parameter, output schema exists), the description covers the essential purpose and parameter. However, it lacks context about data freshness (is it real-time or delayed?) and any prerequisites (e.g., must ticker exist?). The output schema likely provides return details, but without annotations, some behavioral aspects remain unclear.

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 description adds significant value to the parameter by providing an example ('BTC') and clarifying that 'ticker' is a symbol. Since the schema has 0% description coverage, this explanation compensates well. It could be improved by noting case sensitivity or format requirements, but it is effective enough for correct invocation.

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 the action (retrieve) and resource (fast information for a specific cryptocurrency). It directly names the resource type and uses a relevant example ('BTC'). However, it does not explicitly differentiate from sibling tools like 'get_fast_info' or 'get_info', which may also provide similar fast info for other asset types.

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 provides no guidance on when to use this tool versus its siblings. There is no mention of alternatives, prerequisites, or context such as whether this is for quick snapshots while other tools are for historical data. The agent would need to infer usage 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?

No annotations provided. The description does not disclose side effects, auth needs, rate limits, or data freshness. It only states the action and return type, leaving behavioral traits implicit.

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?

Extremely concise: two sentences and a bullet list. Every sentence adds value with no redundancy. Front-loaded with 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 simple tool with one parameter and an output schema, the description covers input and output. It does not mention optional filters like date range, but 'history' implies full history. Output schema handles return structure.

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 description adds meaning to the single parameter 'ticker' by specifying it is the stock symbol. Schema coverage is 0%, so this clarification is valuable. However, no further detail on format or examples.

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 it retrieves dividend history for a stock using a specific verb and resource. It distinguishes from sibling tools like 'get_dividend_summary' by specifying 'history'.

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 tool versus alternatives (e.g., get_dividend_summary). No context on prerequisites or exclusions. The description is purely functional without usage advice.

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?

No annotations are provided, so the description must convey behavioral traits. It only states 'retrieve' implying a read operation, but does not disclose rate limits, permissions, or side effects. Minimal transparency.

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 very concise, only three sentences. Every sentence provides necessary information without waste.

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 the lack of output schema, the description should explain what the returned dict contains. It only says 'Dividend summary data' without specifying fields, which is insufficient for an agent to use effectively.

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 description adds a brief explanation for the 'ticker' parameter (The symbol of the stock) beyond the schema's title. However, it does not provide additional details like format or examples.

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 it retrieves a summary of dividend data for a stock, which is clear but generic. It does not differentiate from the sibling tool 'get_dividends', which likely provides more detailed dividend information.

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 tool versus alternatives like 'get_dividends'. No context provided about prerequisites or appropriate use cases.

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?

No annotations are provided, and the description only states 'Returns: Any' without disclosing behavioral traits such as read-only nature, potential errors, or rate limits. The agent gets no insight into side effects or requirements.

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 short but includes redundant docstring boilerplate ('Returns: Any: Earnings estimates data from the repository.'). It could be tightened to a single sentence without loss of 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?

Given no output schema, the description does not detail the structure or format of the returned earnings estimates data. The agent is left with vague 'Any' type, which is insufficient for reliable integration.

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 description repeats the parameter name and type from the input schema with slight elaboration ('The symbol of the security'), but adds no meaningful constraints or context. With 0% schema coverage, the description should compensate but does not significantly add value.

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 the tool retrieves earnings estimates for a ticker, using a specific verb and resource. However, it does not differentiate from sibling tools like get_eps_history or get_eps_trends, which are related but distinct.

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 tool versus alternatives among the many siblings. There is no mention of prerequisites, filters, or conditions that would help an agent choose it over similar 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?

No annotations are provided, so the description must disclose behavioral traits. It only states it retrieves EPS history, implying a read operation, but lacks details on data freshness, error handling, or any side effects.

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 three lines: a clear purpose sentence, then structured Args and Returns. No wasted words, and the key information is 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?

Given the tool has an output schema and a single required parameter, the description covers purpose, parameter, and return type. It is complete for a simple retrieval, but could mention handling of invalid tickers or historical depth.

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 input schema has 0% description coverage, but the tool description includes an Args section defining 'ticker (str): The symbol of the security.' This adds meaning beyond the schema's basic type and title, though it could give format examples.

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 it 'Retrieve EPS (Earnings Per Share) history for a given ticker.' The verb is specific, the resource is defined, and it distinguishes from sibling tools like get_eps_trends (estimates) or get_history (generic history).

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 tool versus alternatives like get_eps_trends or get_earnings_estimates. The description only states what it does, without context for selection.

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?

With no annotations, the description must fully disclose behavior, but it only states it returns 'EPS trends data from the repository' without clarifying if it's read-only, any side effects, or data freshness. The vague return type 'Any' also reduces transparency.

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 very short and to the point, but the structure is basic (no sections) and could include more informative content without becoming verbose. It is minimally acceptable.

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 the tool's simplicity (1 param, no output schema, no annotations), the description should still explain what 'trends' means, the time period covered, and the structure of the returned data. It fails to provide these details, leaving the agent underinformed.

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 0%, so the description must compensate. It adds that ticker is the 'symbol of the security', but lacks examples, format requirements, or additional context. This minimal addition does not significantly enhance 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 clearly states the verb 'Retrieve', the resource 'EPS (Earnings Per Share) trends', and the scope 'for a given ticker'. This distinguishes it from siblings like get_eps_history, which focuses on historical data.

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 provided on when to use this tool versus alternatives like get_eps_history or get_earnings_estimates. The description lacks any context about prerequisites or conflicting 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Retrieve fast info' implying a read operation, but does not mention rate limits, authentication requirements, or any side effects. The term 'fast' suggests performance but is not explained.

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 extremely concise: a single sentence for the purpose followed by a structured Args/Returns block. Every part is essential, no fluff, and the main action is 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 tool with one parameter and an output schema (not shown), the description provides minimal but adequate information. However, it does not explain what fields are in 'StockFastInfo' or any edge cases, which could be helpful given the many sibling tools.

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 input schema has 0% description coverage, so the description compensates by explaining the 'ticker' parameter as 'The symbol of the stock.' This adds meaningful context beyond the schema's type definition.

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 the verb 'Retrieve' and the resource 'fast info' for a specific stock ticker, which is distinct from other info tools like 'get_info'. However, it does not explicitly explain what 'fast info' entails, leaving some ambiguity.

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 provided on when to use this tool versus alternatives such as 'get_info' or 'get_full_analysis'. The description lacks any context about prerequisites, ideal use cases, or when not to use it.

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?

No annotations provided. The description does not disclose any behavioral traits beyond the basic retrieval action. No mention of error handling, data freshness, or any side effects.

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 concise and front-loaded with the main purpose. The Args and Returns sections are clearly separated. Every line adds value, though it could include a usage example.

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 retrieval tool with one parameter and an existing output schema, the description provides the essential purpose but lacks context on the calendar's format, date range, or typical use cases. It is adequate but not thorough.

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 description adds limited meaning to the single parameter 'ticker' by stating it is 'The symbol of the security', which is not in the schema. However, it is still minimal and relies on the agent's general knowledge.

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 the verb 'Retrieve' and the resource 'financial calendar for a given ticker'. It unambiguously identifies the tool's purpose and distinguishes it from siblings like get_dividends or get_earnings_estimates.

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 tool vs. alternatives (e.g., get_financial_summary). No exclusions or prerequisites. The agent must infer usage from the 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?

No annotations exist, placing full burden on description. The description only states it retrieves data, omitting behavioral traits like data freshness, permissions, error handling, or whether it's read-only. Barely meets basic expectations.

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 short and includes Args/Returns sections, but the Returns section is vague ('dict: Financial summary data'). Some redundancy with schema. Could be more efficiently structured.

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 and vague return description ('dict: Financial summary data'). Does not clarify what fields are included, making it incomplete for agents. Among 70+ siblings, lacks differentiation from get_financial_summary_v2.

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 0%, but the tool description defines ticker as 'The symbol of the stock,' which adds minimal value. With only one parameter, the description adds some meaning but lacks detail like format (e.g., uppercase) or constraints.

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 'Retrieve a financial summary for a stock' using a specific verb and resource. While it distinguishes from siblings like get_full_financials or get_fast_info by its focus on 'financial summary,' it does not highlight how it differs from get_financial_summary_v2, a direct sibling.

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 tool versus alternatives (e.g., get_financial_summary_v2, get_full_financials). No prerequisites, when-not-to-use, or context 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?

No annotations are present, so the description must carry the full burden. It implies a read operation ('Retrieve') but does not disclose any behavioral traits like rate limits, data freshness, or required permissions. The description is insufficient for an agent to understand side effects or constraints.

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 extremely concise, with the purpose stated in the first sentence and no extraneous information. Every part serves a purpose, and it is well-structured.

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 the lack of output schema and annotations, the description does not provide enough context about the return value or how this differs from the standard summary. With many sibling tools, the agent needs more detail to decide 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?

Even though schema description coverage is 0%, the description adds clear meaning for the 'ticker' parameter: 'The symbol of the stock.' This compensation is effective for a single, simple parameter.

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 it retrieves an alternative version of the financial summary for a stock, using a specific verb and resource. It distinguishes from the sibling tool 'get_financial_summary' by describing itself as an 'alternative version', though it does not explain what makes it 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?

No guidance is provided on when to use this tool versus siblings. With a sibling tool 'get_financial_summary', the description should indicate differences or preferred contexts, but it offers no such instruction.

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?

With no annotations provided, the description fails to disclose behavioral traits such as potential slowness due to aggregation, error handling for invalid tickers, or permission requirements. It only states its function without any caveats.

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 extremely concise, using two short sentences to convey purpose, and includes well-structured Args and Returns sections. Every sentence adds value without extraneous 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?

Given no output schema, the description vaguely promises 'all analysis data' but does not detail the structure of the returned dictionary. This leaves ambiguity about what exactly is included, especially given the many sibling tools.

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 description explains the ticker parameter as 'The symbol of the security,' which adds meaning beyond the schema's title. For a simple string parameter, this is adequate but not exceptional. Schema description coverage is 0%, so the description partially compensates.

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 the verb 'retrieve' and the resource 'full analysis report', making the purpose obvious. However, it does not differentiate from the many sibling tools that also retrieve specific analysis data, which is a minor shortcoming.

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 provides no guidance on when to use this tool versus alternatives. It does not mention context, prerequisites, or scenarios where this tool is preferred over other 'get_*' 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?

No annotations are provided, so the description bears full burden. It mentions 'aggregating all available financial statements and records,' which hints at combining data, but lacks details on performance, data freshness, or whether the aggregation is real-time or cached. It does not disclose potential side effects or constraints.

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 concise with two sentences plus structured Args/Returns. It is front-loaded with the main action. However, it could be more structured by separating the aggregation detail more clearly.

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 parameter and no output schema, the description is adequate but incomplete. It does not specify what 'full set' includes (e.g., balance sheet, income statement, cash flows) or whether the dictionary structure is documented elsewhere. The presence of many sibling tools heightens the need for more precision.

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 input schema has no descriptions for the single parameter 'ticker.' The description adds meaning by stating 'ticker (str): The symbol of the security,' clarifying the parameter's purpose beyond the schema. This is valuable given 0% schema coverage.

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 the tool retrieves 'a full set of financial data' for a ticker, 'aggregating all available financial statements and records.' This distinguishes it from siblings like get_balance_sheet or get_income_statement, which are for specific statements.

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 obtaining comprehensive financial data in one call, but it does not explicitly state when to use it versus alternatives (e.g., specific statement tools) or mention any prerequisites or limitations. No guidance on when not to use 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?

No annotations exist, so the description carries full burden. It only states it aggregates all available holdings information without detailing what is included, potential limitations, or whether it works for all security types. This is minimal transparency.

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 concise and uses a docstring format (Args, Returns). However, the Returns section is a placeholder ('Dictionary containing all holdings data') that adds little value. It is structured but not exceptionally informative.

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?

Without an output schema, annotations, or detailed parameter description, the description lacks completeness. It does not specify what keys the returned dict contains, any limits, or usage examples, leaving significant gaps for effective tool usage.

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 0% (no structured description in schema). The description adds 'The symbol of the security' for the ticker parameter, which is marginal value beyond the parameter name. It does not compensate adequately for the lack of schema description.

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 it retrieves a full set of holdings data for a given ticker, using a specific verb and resource. However, it does not differentiate from sibling tools like get_fund_top_holdings or get_institutional_holdings, which may overlap.

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 provided on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or scenarios where other holdings tools might be more appropriate.

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?

No annotations are provided, and the description does not disclose any behavioral traits beyond the basic action. It does not mention whether the operation is read-only, requires authentication, has rate limits, or any side effects. The return type is hinted at (FundAssetClassHolding | None) but without 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 description is extremely concise: two sentences plus a structured docstring. The primary action is stated first, and the Args/Returns format is clear. No unnecessary words or repetition.

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 covers the basic purpose and parameter but lacks context on the nature of asset class holdings, data freshness, or how the result relates to other fund data. However, the presence of an output schema (not shown) partially compensates, as the structure can be inferred from it.

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?

With 0% schema description coverage, the description adds meaningful explanation for the single parameter 'ticker' as 'The symbol of the fund.' This provides clarity beyond the schema's bare type definition. The phrase 'of the fund' clarifies the context, though 'ticker' is commonly understood.

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 the tool retrieves asset class holdings for a specific fund, using a specific verb and resource. It distinguishes from sibling tools like get_fund_bond_holdings or get_fund_equity_holdings, though it does not clarify what 'asset class holdings' entails (e.g., types of assets).

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 explicit guidance on when to use this tool versus alternatives. The description implies it should be used when asset class breakdown is needed, but no exclusions or when-not conditions are provided. Among many similar fund tools, this lack of guidance reduces usability.

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?

No annotations exist, so the description must disclose behavior. It states the tool returns a list of FundBondHolding, implying a read operation. However, it does not mention side effects, latency, pagination, or data freshness. Basic transparency but lacking 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 description is very brief, with no wasted words. The purpose is front-loaded, and the parameter description is integrated. Perfectly concise for the tool's simplicity.

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 1 parameter and an output schema, the description covers the essential. However, it does not specify whether holdings are current or historical, or clarify the structure of FundBondHolding (though output schema may handle that). Adequate but not exhaustive for a tool among many similar ones.

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 description explains the single parameter 'ticker' as 'The symbol of the fund,' adding meaning beyond the schema's bare 'Ticker' label. Schema description coverage is 0%, so this explicit explanation compensates. Could include format or example, but adequate.

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 'Retrieve the bond holdings for a specific fund,' specifying the verb, resource, and scope. Among siblings with many fund-related tools (e.g., get_fund_equity_holdings, get_fund_asset_class_holdings), this tool is distinct and 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?

No guidance provided on when to use this tool versus alternatives (e.g., get_fund_equity_holdings, get_fund_top_holdings). There is no mention of use cases, 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?

No annotations provided. The description only states the basic action and return type, without disclosing any behavioral traits (e.g., pagination, data freshness, permissions). Minimal beyond the obvious.

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?

Description is short, clear, and front-loaded. Three sentences cover purpose, arguments, and returns with no waste.

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 the presence of an output schema, return details are covered. However, the tool is simple but lacks usage guidance and behavioral transparency, leaving some gaps.

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 0%, so the description adds meaning by explaining 'ticker' as the symbol of the fund. However, it remains minimal and could be more specific (e.g., ETF or mutual fund ticker).

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 the tool retrieves equity holdings for a specific fund, using a ticker parameter. The name and description differentiate it from bond, asset class, or top holdings siblings, but does not explicitly distinguish from get_full_holdings.

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 tool versus alternatives like get_fund_top_holdings or get_full_holdings. Lacks context for tool selection.

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?

No annotations are provided, so the description carries the transparency burden. It states it retrieves information but does not disclose behavior on invalid tickers, rate limits, or return format. For a simple read tool, it is minimally adequate.

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 compact with optional Args/Returns sections. It is front-loaded with the core purpose. The Returns line is generic but acceptable given an output schema exists. No wasted words.

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 one parameter, no annotations, and an output schema, the description adequately states purpose and parameter. However, it misses context about fund types (mutual funds vs ETFs) and does not differentiate from get_info, making it less complete in the sibling context.

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 0%. The description adds 'The symbol of the fund' for the ticker parameter, which is not much more than the schema's 'Ticker' title. It does not specify ticker format or provide examples.

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 specific verb ('Retrieve') and identifies the resource ('general information for a specific fund'). It clearly distinguishes from sibling tools that retrieve specific aspects (e.g., holdings, operations).

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 does not provide any guidance on when to use this tool versus alternatives like get_info, get_fund_overview, or others. No when-not or context is 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?

The description does not mention any behavioral traits such as read-only, error handling, or prerequisites. With no annotations provided, the description carries the full burden of behavioral disclosure but fails to add beyond stating it returns 'FundOperations | None'.

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 very short and to the point, with the essential information front-loaded. However, it could be slightly more informative without sacrificing conciseness.

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 the tool has only one parameter and no annotations, the description is too minimal. It does not explain what 'operations data' comprises, especially when contrasted with many more specific sibling tools. The existence of an output schema does not excuse the lack of context in the description.

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 only parameter 'ticker' has 0% schema description coverage. The description adds 'The symbol of the fund' which is minimal and obvious from the parameter name. It does not explain the format or any constraints, so it adds little value over 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 clearly states the verb 'retrieve' and resource 'operations data for a specific fund'. It is specific enough to indicate the tool's purpose, though 'operations data' is somewhat vague compared to more specific sibling tools like 'get_fund_asset_class_holdings' or 'get_fund_bond_holdings'.

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 provided on when to use this tool versus the many sibling tools that also retrieve fund-related information, such as 'get_fund_info' or 'get_fund_overview'. The description lacks context about the tool's specific use case or limitations.

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?

No annotations are provided, and the description does not disclose behavioral traits such as authentication needs, rate limits, or side effects. It only mentions the return type (FundOverview or None), which is already implied by the output schema.

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 extremely concise with three short lines, containing no redundant information. Every sentence adds value.

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 the output schema exists, the description is adequate for a simple retrieval tool. However, it lacks explanation of what the 'overview' includes and does not distinguish clearly from sibling tools like get_fund_info.

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 coverage is 0%, but the description explains the parameter as 'ticker (str): The symbol of the fund.' This adds basic meaning beyond the schema's title. However, it does not provide detailed syntax or format constraints.

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 'Retrieve an overview for a specific fund,' which identifies the verb (retrieve) and resource (overview for a fund). Among siblings like get_fund_info and get_fund_operations, the purpose is distinct but not explicitly differentiated.

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 provided on when to use this tool versus alternatives. Siblings include many fund-specific tools, but the description offers no context for selection 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?

No annotations are provided, so the description carries the full burden. It indicates the operation is a retrieval (non-destructive) and states the return type can be None. However, it does not disclose authentication needs, data source freshness, or any potential side effects. For a simple read tool, this is adequate but not exemplary.

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 extremely concise, consisting of one sentence plus a clean args/returns format. No extraneous information is present, and every word serves a purpose. Ideal for an AI agent parsing.

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 has one parameter and a simple return type (FundSectorWeighting or None). The description covers both sufficiently. Output schema exists (not shown) but is not needed for completeness here. Minor missing info (e.g., example ticker format) does not detract significantly.

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?

With 0% schema description coverage, the description adds meaning by explaining that 'ticker' is 'The symbol of the fund,' which clarifies the parameter beyond the schema's empty description. This is helpful and compensates for the schema's lack of 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?

The description clearly states 'Retrieve sector weighting data for a specific fund,' specifying the verb (Retrieve), the resource (sector weighting data), and the scope (specific fund via ticker). This distinguishes it from sibling tools like get_fund_asset_class_holdings or get_fund_top_holdings.

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 provides no guidance on when to use this tool versus alternatives, lacks prerequisites, and does not mention when not to use it. With many sibling tools covering fund and sector data, explicit usage direction is missing.

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?

With no annotations, the description minimally discloses it is a retrieval operation, but does not mention side effects, permissions, rate limits, or criteria for 'top' holdings (e.g., count or ranking method).

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 succinct: two sentences with clear Args/Returns sections. No unnecessary words, front-loaded 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 tool is simple with one parameter and an output schema, so the description is adequate but lacks details like 'top N' or sorting criteria. Could be more informative.

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 description explains the single parameter 'ticker' as 'The symbol of the fund', adding meaning beyond the schema's type-only definition. With 0% schema coverage, this compensates well for one parameter.

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 the verb 'Retrieve' and resource 'top holdings for a specific fund'. It distinguishes from siblings like 'get_full_holdings' by focusing on top holdings, but does not explicitly differentiate from other fund holding tools.

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 tool versus alternatives like 'get_full_holdings' or 'get_fund_sector_weighting'. The description lacks context for selection.

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 description implies a read-only operation but does not disclose any behavioral traits such as rate limits, permissions, or side effects. Without annotations, it carries the full burden, and it fails to provide meaningful transparency beyond the basic action.

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 short and to the point. However, the docstring-style 'Args' and 'Returns' add minimal value and could be integrated more efficiently. It is not excessively verbose, but the lack of structure reduces readability.

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 has no output schema, so the description should explain the return value, but it only says 'Any', which is uninformative. It lacks details about data structure, time range, or possible error conditions, leaving the agent underinformed.

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 0%, and the description only restates the parameter name ('ticker') in the docstring, adding no semantic meaning about its format, constraints, or examples. The description does not compensate for the missing schema details.

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 the action ('Retrieve') and the resource ('growth estimates') with a specific input (ticker). It distinguishes from sibling tools that deal with other financial data (e.g., earnings, balance sheet). However, it lacks additional context that could further clarify the scope.

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 tool versus alternatives, such as get_earnings_estimates or get_revenue_estimates. The description does not specify prerequisites or contexts where growth estimates are appropriate.

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?

No annotations exist, and the description does not disclose any behavioral traits such as auth requirements, rate limits, data freshness, or side effects. It only describes the input and return structure, leaving behavioral aspects opaque.

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 well-structured with Args and Returns sections, and each sentence adds value. It could be slightly more concise, but overall it's efficient and clear.

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 the output schema exists but is not explained, and the many sibling tools, the description could be more comprehensive (e.g., data range, frequency details). However, it adequately covers core parameters and purpose.

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 description adds critical value beyond the schema: it explains that 'ticker' is the stock symbol, and provides valid values for 'period' and 'interval' (including defaults). Since schema coverage is 0%, these clarifications are essential for correct parameter usage.

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 it retrieves historical price data for a stock, which is a specific verb and resource. It distinguishes from crypto-related tools by specifying 'stock', but does not explicitly compare with other historical data tools among siblings.

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 provided on when to use this tool versus alternatives like get_crypto_history or other financial data tools. The description merely states its function without usage context 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?

The description states 'Retrieve' implying a read-only operation, which is appropriate. No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits like time period, caching, or error handling. Minimal but adequate for a simple retrieval.

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 very concise, with two sentences covering purpose, parameters, and returns. It is front-loaded with the main action. Slightly repetitive in the returns section but 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?

Given the presence of an output schema (as indicated by context signals), the description does not need to fully detail return fields. It states the return type but omits time period context (e.g., annual vs. quarterly). Adequate for a simple tool but could be more 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?

The description adds 'The symbol of the security' to explain the 'ticker' parameter, which goes beyond the schema's title-only specification. This provides clear meaning. However, no other parameters exist to add value.

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 it retrieves an income statement for a given ticker, using a specific verb and resource. However, it does not differentiate from the sibling tool 'get_ttm_income_statement', which specifically retrieves trailing twelve months income statement. Missing time period information creates ambiguity.

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 provides no guidance on when to use this tool versus alternatives like get_balance_sheet, get_ttm_income_statement, or get_full_financials. No when-not-to or exclusion criteria are mentioned.

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?

No annotations are present, so the description must convey behavioral traits. It only states 'retrieve an overview', implying a read-only operation, but does not disclose any potential side effects, authentication requirements, rate limits, or data freshness. The description adds minimal transparency beyond the tool's name.

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 very short (one sentence), front-loading the purpose. It is concise and to the point, but the extreme brevity sacrifices useful context. Still, it earns a high score for lack of fluff.

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 the tool's simplicity (single parameter, likely a straightforward fetch) and the presence of an output schema (not shown but indicated), the description is minimally adequate. However, it does not clarify what 'overview' entails (e.g., textual summary, key metrics), leaving the agent uncertain about the return type beyond the schema.

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 input schema has 0% parameter description coverage, so the description should compensate. However, it merely repeats the parameter name 'industry' without adding meaning or constraints (e.g., valid industry names, format). The parameter is self-explanatory, but the description fails to provide any additional value over the raw 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 clearly states the verb 'Retrieve' and the resource 'overview of a specific industry'. It is distinct from sibling tools like 'get_sector_overview' which targets sectors, but it does not explicitly differentiate itself from other industry-related tools like 'get_industry_top_companies'. The purpose is clear but lacks specificity on what the overview contains.

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 provided on when to use this tool versus alternatives. Sibling tools include many related functions (e.g., 'get_industry_top_companies', 'get_sector_overview'), but the description does not clarify scenarios where this is the best choice or when to avoid it.

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?

No annotations are provided, so the description carries the full burden. It only says 'Retrieve a list', implying a read operation, but does not explicitly state safety, effects, or limitations. More detail would be expected for complete transparency.

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 very concise, using two short sentences. It avoids redundancy but could include a bit more context without being verbose. The structured Args/Returns format aids readability.

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 the simple tool with one parameter and an existing output schema, the description is minimally adequate. It explains the purpose and return type, but lacks details on what defines 'top', valid industry names, or how to handle errors.

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 0% description coverage, and the description merely restates the parameter name ('industry') without adding semantic value (e.g., valid values, format, or relation to other tools). The description adds little beyond the schema's title.

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 it retrieves a list of top companies within an industry. The verb 'retrieve' and resource 'top companies' are specific. However, it does not differentiate from sibling tools like get_industry_top_growth_companies or get_industry_top_performing_companies, which have more specialized purposes.

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 provided on when to use this tool versus its siblings (e.g., get_industry_top_growth_companies). There is no mention of prerequisites, industry name format, or typical use cases, leaving the agent to guess.

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?

With no annotations, the description carries the full burden. It only mentions input and return type, but does not disclose how 'growth' is defined, whether results are sorted, any caching behavior, rate limits, or error conditions. Minimal behavioral insight.

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 short and well-structured with Args/Returns sections. It avoids unnecessary details, but the type information is redundant with the schema. Still, it is efficient and readable.

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 the output schema exists (though not provided in input) and many similar siblings, the description lacks context on what defines 'top growth', how to find valid industry names (e.g., via get_all_industries), and any limitations. With no annotations, completeness is low.

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 parameter 'industry' has 0% schema description coverage. The description only repeats the type and says 'The name of the industry', adding no additional meaning such as valid values, case sensitivity, or how to obtain industry names. Fails to compensate for schema gap.

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 the verb 'Retrieve a list' and the resource 'top growth companies' with scope 'within a specific industry'. It differentiates from siblings like get_industry_top_companies and get_industry_top_performing_companies by specifying 'growth'.

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 provided on when to use this tool versus alternatives like get_industry_top_companies or get_industry_top_performing_companies. The description lacks context on the differences between 'top growth', 'top', and 'top performing'.

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?

No annotations are provided, so the description must bear the full burden. It does not disclose behavioral traits like mutability, authentication requirements, or performance criteria. The description merely states the function without additional 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?

The description is concise with clear Args/Returns sections. No redundant information is present, and it effectively communicates the core purpose in a structured manner.

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 tool with one parameter and an output schema, the description covers the basics. However, it lacks context on what defines 'top performing', how results are ordered, or any limitations, which are important for understanding its full scope.

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 0% description coverage for the industry parameter. The description adds a basic definition ('The name of the industry'), which is minimal but necessary. It does not provide examples, formats, or possible values, leaving room for improvement.

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 it retrieves a list of top performing companies in an industry, using a specific verb and resource. However, it does not differentiate from sibling tools like get_industry_top_companies or get_industry_top_growth_companies, missing the chance to clarify uniqueness.

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 provides no guidance on when to use this tool versus alternatives. Given the presence of similar sibling tools (e.g., get_industry_top_companies, get_industry_top_growth_companies), this omission makes selection ambiguous.

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?

No annotations are provided, so the description must convey behavioral traits. It indicates a read operation ('Retrieve'), but does not disclose idempotency, authentication needs, rate limits, or data freshness. The behavior is simple enough that a 3 is acceptable, but more detail would help.

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 very concise, using a single sentence with args/returns. Every word contributes. However, given the many siblings, a slightly longer description with differentiation would be more helpful. Still, it is not 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?

Despite having an output schema, the description only says 'Detailed info data' without specifying what fields are included. With numerous sibling tools, the user needs to know the scope of 'detailed info' to choose correctly. The description is incomplete for the domain 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?

The input schema has 0% description coverage, so the description must compensate. It provides a brief description of the ticker parameter as 'The symbol of the stock', which adds meaning beyond the schema. However, it lacks format details or examples. This is adequate but not comprehensive.

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 it retrieves detailed info for a stock ticker, using the verb 'Retrieve' and specifying the resource. However, it does not distinguish this from many sibling info tools like get_fast_info or get_full_analysis.

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 tool versus alternatives. The description does not mention prerequisites, scenarios, or exclusions. With many sibling tools providing different info types, the lack of usage direction is a significant gap.

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?

With no annotations provided, the description carries the full burden but fails to disclose behavioral traits like data freshness, authorization needs, or any side effects. The return type is vaguely described as 'Any', and no details about the data structure are given.

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 very short (two sentences plus Args/Returns) and front-loaded, but the brevity sacrifices important details. It earns its place but could be more informative.

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 no output schema and no annotations, the description is incomplete. It does not explain the structure of the returned insider purchases data (e.g., fields, pagination) or any constraints, leaving the agent with significant uncertainty.

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 description explains the ticker parameter as 'The symbol of the security', adding meaning beyond the schema which only has the title 'Ticker'. With 0% schema coverage, this significantly aids 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 clearly states the verb 'Retrieve' and the resource 'insider purchases' for a given ticker, making the tool's purpose specific and distinguishable from sibling tools that retrieve other data types.

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 does not provide any guidance on when to use this tool versus alternatives, such as get_institutional_holdings or get_major_holders, nor does it mention prerequisites or exclusion criteria.

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?

With no annotations, the description must fully disclose behavioral traits. It only states 'Retrieve', implying a read-only operation, but omits details on side effects, permissions, rate limits, or data freshness. The return type is vague ('Any') and unhelpful.

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 short and front-loaded with the main purpose. The structured Args/Returns section is clear, though the Returns line is vague and could be removed or improved without harming conciseness.

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 retrieval tool with no output schema, the description should specify the return format, structure, and any constraints (e.g., pagination, data limits). The vague 'Any' return type fails to provide the completeness needed for an agent to reliably use the result.

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 parameter 'ticker' has zero schema description coverage (0%), but the docstring adds that it is 'The symbol of the security.' This clarifies its meaning beyond the schema, though format conventions (e.g., ticker symbol style) are omitted.

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 the action ('Retrieve') and the resource ('institutional holdings for a given ticker'), which distinguishes it from sibling tools that handle different holding types like fund top holdings or major holders.

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 provided on when to use this tool versus alternatives such as get_full_holdings or get_major_holders. There is no mention of context, 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?

With no annotations, the description does not disclose behavioral traits such as whether the operation is read-only, data freshness, or authentication requirements. It only states the action without additional 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?

The description is extremely concise, front-loading the purpose in the first sentence, and uses minimal but clear docstring style for parameter and return information. No extraneous text.

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 tool with one parameter and no output schema, the description is adequate but incomplete. It does not define what 'major holders' are or specify the return format, which is important given the many sibling holding tools. Additional context would improve completeness.

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?

Despite the input schema having 0% description coverage, the tool's description explains the parameter 'ticker' as 'The symbol of the security,' adding meaning beyond the schema. This compensates for the empty schema descriptions.

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 the verb 'Retrieve' and resource 'major holders' for a given ticker, effectively distinguishing it from sibling tools that focus on other types of holdings (e.g., institutional, mutual fund).

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 provided on when to use this tool versus alternatives like get_institutional_holdings or get_full_holdings. The description lacks context on preferred use cases 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?

No annotations are provided, so the description carries the full burden. It only states the return type without any behavioral details (e.g., whether the data is real-time, what market identifiers are accepted, or potential error conditions).

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 very short at two sentences, but it lacks essential details. It is not 'efficiently comprehensive'; rather, it is under-specified, which harms usability.

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?

Despite a simple tool with one parameter and an output schema, the description fails to explain the input parameter or provide context about the returned data. It is incomplete for effective 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 single parameter 'market' is a plain string with no description in the schema (0% schema coverage). The description adds no meaning about the expected format, examples, or constraints, making it impossible for an agent to know what to input.

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 the action ('Retrieve') and resource ('current status of major market indices'), making the tool's purpose understandable. However, it does not differentiate from sibling tool 'get_market_summary', which likely serves a similar function.

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 use this tool versus alternatives. Given the sibling list includes 'get_market_summary' and other market-related tools, the description should clarify the distinction.

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?

No annotations exist, yet the description only says 'Retrieve a summary' and mentions return type. It does not disclose behavioral traits like data freshness, side effects, or access requirements.

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?

Minimal length, but missing critical details. It is front-loaded but too sparse to be effective; could be more concise if it included parameter hints.

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 the single required parameter and no annotations, the description is incomplete. It does not explain the 'market' parameter or the return structure, leaving the agent underinformed.

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 parameter 'market' has no description, and schema coverage is 0%. The description adds no meaning beyond the schema's name and type; the agent cannot infer what values are valid.

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 the tool retrieves a market summary (verb+resource). However, it does not distinguish from siblings like get_market_status or get_industry_overview, which could cause confusion.

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 tool versus alternatives. The sibling list includes many market-related tools, but the description fails to specify context or selection criteria.

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?

No annotations are provided, so the description carries full responsibility. It states 'retrieve', implying a read-only operation, but does not explicitly confirm no side effects, required permissions, rate limits, or data freshness. The vague return type 'Any' further reduces transparency.

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 very concise, immediately stating the purpose and listing the parameter. However, it could be structured more effectively (e.g., using bullet points for args and returns) and the opening line could be more informative. It is efficient but not optimally 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 one-parameter tool, the description is incomplete. It lacks explanation of the return structure (e.g., list of holdings, fields like weight, shares), does not mention any constraints (e.g., mutual fund specific, not for ETFs), and fails to guide the agent among many similar fund tools. The absence of an output schema makes the vague 'Any' return type insufficient.

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 description adds minimal meaning beyond the schema: 'ticker (str): The symbol of the security.' The schema only has a title 'Ticker'. With 0% schema description coverage, the baseline is 3, and the description barely meets it by providing a simple one-line description.

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 it retrieves mutual fund holdings for a given ticker, using the verb 'retrieve' and the resource 'mutual fund holdings'. However, it does not distinguish among many sibling tools that also retrieve fund data (e.g., get_full_holdings, get_fund_top_holdings), so it lacks 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?

No guidance is provided on when to use this tool versus alternatives. With many related sibling tools, explicit context about exclusivity (e.g., 'use for mutual fund holdings only, not institutional holdings') is missing. The description implies use for any ticker but does not exclude or compare.

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