AIsa Crypto Market Data

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

Adds substantial context beyond the readOnlyHint/openWorldHint/destructiveHint annotations: the call is free, it requires the Authorization header, and it discloses result semantics ('ok is true only when the balance was read; otherwise each entry of errors says what to do in next_step'). That tells an agent how to interpret partial failure, which annotations cannot convey.

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

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

Three sentences, front-loaded with what the agent gets, followed by cost/auth, then call triggers, then result interpretation. No sentence is redundant and none could be dropped without losing 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 zero-parameter read tool with an output schema already present, the description covers the remaining gaps: cost, auth requirement, invocation triggers, and the ok/errors/next_step contract. Nothing an agent needs to call or interpret it correctly is missing.

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

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

The tool takes zero parameters, so the description has nothing parameter-level to compensate for, and the schema is fully covered. A 4 rather than 5 reflects that it adds no input-syntax detail, though none is possible here.

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

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

The description states a concrete resource set (identity/key, account balance, Go-to-Market wallet, usage over 1/7/30 days) rather than restating the name. It is clearly distinguishable from every sibling, which are all Reddit, batch, or search tools. An agent knows exactly what it will learn by calling it.

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

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

Explicit triggering conditions are given: 'Call it to verify a new connection or to explain a 402.' That is a strong when-to-use statement. It stops short of 5 because it names no alternative tool or a when-not condition, though the sibling list offers no obvious competing diagnostic.

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

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description is not required to restate it. It adds genuine operational context: the batch_use prohibition, exact-name/prefix requirements, and session reuse semantics. It does not cover failure handling when names are invalid, keeping it below a 5.

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

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

Front-loaded with the core action and size limit, and every sentence carries workflow value. The session_id sentence duplicates the schema's own parameter description, which is minor redundancy rather than bloat.

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

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

For a read-only batch retrieval tool with an output schema, the description supplies the orchestration context an agent needs (source of names, next steps, session handling) without needing to explain return values. Nothing essential to correct invocation is missing.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds real meaning beyond the schema by constraining names to those returned by search and warning against a client prefix such as mcp__aisa__, which is not encoded in the schema.

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

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

States a specific verb and resource ('Retrieve schemas for 1 to 20 exact tool names') and pins the source of those names to search. This clearly separates it from siblings like search (finds tools), batch_quote, and batch_use.

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

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

Explicitly sequences the workflow: build arguments from successful schemas, then call batch_quote, and 'Do not call batch_use yet.' This is an explicit when-to-use and when-not-to-use instruction naming the alternative siblings.

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

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

Goes well past the readOnly/idempotent annotations by explaining that quotes are price observations rather than authorization grants, and precisely delimiting what auto_execute_eligible does and does not waive (user prohibition, narrower scope, tighter budget). It also guarantees no execution fallback, which is the key behavioral risk for this 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?

Purpose is front-loaded and most sentences carry distinct rules (no fallback, eligibility limits, naming, session reuse). It is on the long side and the argument-shape constraint is stated twice in spirit, but little is truly wasted.

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

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

An output schema exists, so return-value documentation isn't required, yet the description still flags the two response fields that matter for a downstream decision. Combined with session and naming guidance, an agent has everything needed to call it 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?

At 67% schema coverage the schema already documents each parameter, so the description earns credit only for added meaning: exact-name rules for 'tool', session_id reuse semantics, and the 1-to-20 argument-shape parallel with batch_use. It doesn't clarify search_id beyond what the schema states.

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

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

States a specific verb and resource ('Obtain AIsaServices cost quotes for 1 to 20 published tools') plus the crucial scope qualifier 'without executing them.' It is immediately distinguishable from the sibling batch_use, which executes rather than quotes.

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?

Explicitly names the parallel sibling ('Same input as batch_use') and draws the boundary ('Never falls back to execution'). It also gives operational conditions: use names exactly as search returns them, strip any mcp__aisa__ prefix, and reuse session_id from Search for the task.

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

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

Annotations already cover mutability, destructiveness, and open-world behavior. The description adds critical business logic: billable calls, quote dependency, the meaning of auto_execute_eligible (waives only cost confirmation, not user prohibitions), and no silent retry. It doesn't detail rate limits or return format, but with an output schema present, that's acceptable.

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 dense and front-loads the cost warning, but it packs many separate instructions into one block, making it less scannable. Some sentences like 'A missing or failed quote is not free' add value, but the overall flow could be better 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 destructive, open-world annotations and the presence of an output schema, the description covers the essential preconditions and behavioral constraints. It could mention error handling or partial failure behavior, but the core guidance is sufficient for correct invocation.

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

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

Schema coverage is 67%, and the description adds important semantics: tool names must be exact without client prefix, session_id reuse guidance, and 1-20 call limit. It doesn't explain search_id, but the schema description for search_id is already clear enough.

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 and resource: 'Execute 1 to 20 independent published-tool calls', and the title matches. It distinguishes itself from batch_quote by requiring a quote first, but doesn't explicitly contrast with the singular 'use' sibling, though that's implied by 'batch'.

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 gives explicit when-to-use and when-not-to-use conditions: only after a successful batch_quote with auto_execute_eligible=true or explicit user authorization. It also states re-quote conditions and prohibits silent retries, leaving little ambiguity.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and idempotency profile is fully covered. The description adds no further behavioral context — no rate limits, no auth requirements, no pagination or result-size behavior. The pricing block is billing boilerplate, not behavioral guidance.

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

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

The core sentence is a single front-loaded clause with no wasted words. It is undercut by the injected pricing comment block, which occupies roughly half the description text and carries no value for tool selection or invocation.

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?

An output schema exists, so return values need not be explained, and the one parameter is fully specified. The remaining gap is disambiguation: with both 'get_coingecko_coins_categories' and 'get_coingecko_coins_categories_list' in the sibling set, the description should clarify which one includes market data.

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

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

Schema description coverage is 100% and the single 'order' parameter is fully documented in the schema with an enum and a stated default. The description adds nothing about sorting, so the baseline of 3 is appropriate when the schema does all the work.

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

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

The description states a specific verb and resource: 'query all the coins categories with market data (market cap, volume, ...) on CoinGecko.' That is clear enough to know what the tool returns. However, it never differentiates itself from the near-identically named sibling 'get_coingecko_coins_categories_list', so an agent cannot tell the two apart from the description alone.

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

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

There is no statement of when to use this tool versus the many sibling category/coins tools, and no prerequisites or exclusions. The only contextual cue is the parenthetical field list, which implies a richer dataset than the plain list endpoint but never says so.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, covering the safety profile. The description adds no behavioral context beyond them — no note on rate limits, auth, or that this returns a full unpaginated category map. The pricing block discloses a per-request cost, which is marginally useful but boilerplate rather than tool-specific behavior.

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

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

One sentence, front-loaded with the resource being queried, followed by a templated pricing disclosure. No wasted prose in the functional part; the pricing block is mandatory boilerplate rather than authorial bloat.

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 an output schema present, annotations covering the safety profile, and no parameters, the description need not explain return values. What it still lacks is the one thing structured fields cannot supply: why an agent would pick this over get_coingecko_coins_categories, making it minimally adequate rather than 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 tool takes zero parameters and schema coverage is 100%, so there is nothing for the description to disambiguate. Baseline of 4 applies for a parameterless endpoint.

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

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

The description states a specific verb and resource ('query all the coins categories on CoinGecko'), so the basic purpose is legible. However, it does nothing to distinguish itself from the very similarly named sibling get_coingecko_coins_categories, and the title's 'ID Map' qualifier — the one detail that would differentiate it — never appears in the description text.

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

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

There is no statement of when to use this tool versus get_coingecko_coins_categories, list_categories, or get_coingecko_coins_list. No prerequisites, no exclusions, no context — an agent must infer selection entirely from the name.

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

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds the scope of returned data and the injected pricing note ($0.008 per successful request), which is genuinely useful cost context, but it says nothing about response size, rate limits, or that booleans control payload composition.

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

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

The core statement is one long, markdown-bolded sentence padded with 'This endpoint allows you to', and it is followed by an HTML-comment pricing block that is noise for tool selection. The purpose is front-loaded, but the prose is bloated relative to its information content.

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 an output schema present, the description need not explain return values, and annotations cover the safety profile; combined with a 100%-documented schema, the agent has enough to call it correctly. The remaining gap is ambiguity about when to prefer this over the narrower coin siblings.

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

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

Schema description coverage is 100% (9 params, all documented, including deprecation notices for community_data/developer_data and the dex_pair_format enum), so the schema carries the burden. The description's enumeration of returned data loosely maps to the boolean toggles but adds no syntax or default information beyond the schema.

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

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

States a specific verb (query) and resource (metadata + market data for a coin by coin ID), and enumerates the concrete payload (image, websites, socials, contract address, price, ATH, tickers). An agent can tell this is the broad 'everything about one coin' endpoint, but the description never contrasts it with near-overlapping siblings like get_coingecko_coins_id_tickers, get_coingecko_simple_price, or get_coingecko_coins_id_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?

There is no when-to-use / when-not-to-use guidance and no mention of alternatives, despite the sibling set containing several overlapping coin-detail endpoints (tickers, history, market_chart, ohlc). The agent must infer selection purely from the endpoint URL.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds only a cost signal (the injected pricing note of $0.008 per successful request), which is genuinely useful behavioral context, but says nothing about rate limits, auth, or response shape.

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 opening sentence is front-loaded and efficient, but roughly half the text is an injected pricing boilerplate block that is unrelated to tool selection. The core content earns its place; the wrapper does not.

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?

An output schema exists, so return values need not be spelled out, and the description still previews the returned fields. With annotations covering safety and 100% schema coverage, the only real gap is the absence of routing guidance versus sibling historical-data 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?

Schema description coverage is 100%, so all three parameters (id, date, localization) are already documented with defaults and formats in the schema. The description adds no extra syntax or constraint beyond what the schema provides, so the baseline 3 applies.

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

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

The description names a specific verb (query) and resource (historical data for a coin by coin ID) and enumerates the returned fields (price, market cap, 24hrs volume). It is clear on its own, but it does not differentiate itself from close siblings such as get_coingecko_coins_id_market_chart_range or get_coingecko_coins_id_ohlc, which also return 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?

The phrase 'at a given date' implicitly distinguishes this from the range-based siblings, so the intended usage is inferable. However, there is no explicit statement of when to prefer this over market_chart_range/ohlc, and no prerequisites or exclusions are given.

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

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

Annotations already declare readOnly, idempotent, non-destructive, openWorld, so the safety profile is covered. The description adds the returned field set and a per-request cost note ($0.008/request), which is genuine behavioral context an agent can act on. It says nothing about pagination, granularity defaults, or rate limits beyond price.

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 purpose is a single front-loaded sentence, followed by a compact pricing block. No wasted prose. Minus one point because the boilerplate pricing comment block is injected noise relative to the tool's actual semantics and the bold markdown is gratuitous.

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?

An output schema exists, so return values need not be described, and annotations cover safety. What is missing is the routing context against the many coin-chart siblings (range vs. trailing days, ohlc, history). For a 5-parameter endpoint in a dense tool family, that gap keeps it at minimum viable.

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

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

Schema description coverage is 100% (id, days, interval, precision, vs_currency all documented with enums), so the schema carries parameter semantics. The description echoes only the coin-ID selector and returned fields, adding no syntax or constraint detail beyond the schema. Baseline 3 applies.

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

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

Specific verb+resource: gets historical chart data (UNIX time, price, market cap, 24hr volume) for a coin identified by ID. An agent knows exactly what the call returns. However, it never distinguishes itself from the near-identical sibling get_coingecko_coins_id_market_chart_range, which an agent must infer differs only by date-range selection.

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 when-to-use guidance, no exclusions, no named alternatives. With siblings like market_chart_range (arbitrary date window vs. trailing 'days'), ohlc, and history, the description leaves the agent to guess which chart tool to pick. Only implied usage from the required 'days' parameter.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description usefully enumerates which market series come back (price, market cap, 24h volume), which goes beyond the annotations, but it discloses nothing about granularity defaults, rate limits, or the fact that the returned timestamp unit depends on the interval chosen.

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

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

The core capability is front-loaded in a single sentence before the mandatory pricing block, so an agent hits the substance immediately. It is slightly padded with bolding and the trailing clause that restates what is already covered, but nothing is genuinely wasted.

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

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

An output schema exists, so return values need not be explained, and annotations cover the safety profile. What is missing is the one thing that matters for this tool family: how it differs from the adjacent range/days variants, plus any note on interval-driven granularity or timestamp units — a notable gap for a 6-parameter time-series endpoint.

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

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

Schema description coverage is 100% and each parameter (including the two enums) is documented in the schema itself, so the description carries no burden here. It adds no format, default, or constraint detail beyond the schema, which is exactly the baseline-3 case.

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

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

States a specific verb and resource: get historical chart data for a coin by ID, listing the exact returned series (price, market cap, 24hr volume). That is enough to distinguish it from most siblings, but it never differentiates itself from the near-identical `get_coingecko_coins_id_market_chart`, which differs only in taking a relative window rather than an explicit range.

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

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

There is no when-to-use guidance, no prerequisites, and no pointer to alternatives. The phrase 'within certain time range' implies the range-vs-days distinction, but the agent must infer that from the tool name alone and cannot tell when `get_coingecko_coins_id_market_chart` would be preferable.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds no behavioral context of its own beyond a pricing boilerplate block: it says nothing about granularity constraints, rate limits, or result volume, which are the traits that actually matter for this endpoint.

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

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

The core is a single front-loaded sentence that puts the resource and key first, and the pricing block is a mandated disclosure rather than filler. The 'This endpoint allows you to...' framing is mildly wasteful but costs one clause, not a paragraph.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. What is missing is the operational constraint tying 'days' to 'interval' granularity (e.g. that hourly data is only available over short windows), which an agent needs to avoid a failed or misleading call.

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

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

Schema description coverage is 100%, and all five parameters carry either a description or an enum, so the schema does the heavy lifting. The description only restates that the call is keyed on coin ID, adding no syntax or format meaning beyond the schema. Baseline 3 applies.

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

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

The description names a specific verb (get) and a precise resource (OHLC chart: Open, High, Low, Close) keyed by coin ID, so the agent knows exactly what data comes back. It does not, however, distinguish this from close siblings such as get_coingecko_coins_id_market_chart or get_coingecko_coins_id_history, leaving the agent to infer that 'OHLC' is the differentiator.

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

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

There is no when-to-use, when-not-to-use, or alternative-naming guidance. An agent choosing between this, market_chart, and history gets no routing help, and there is no mention of the interval/days interaction that governs whether the call is even valid.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds the CEX/DEX scope but says nothing about pagination, result volume, or rate limits beyond the generic pricing boilerplate.

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

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

The core sentence is a single efficient statement of purpose and is front-loaded. The appended pricing boilerplate is noise for tool selection but is not authored content that dilutes the functional description.

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 an output schema present and 100% parameter coverage, the description needn't explain returns or params. Annotations carry the safety profile, leaving only the lack of sibling/alternative routing as a minor gap.

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

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

Schema description coverage is 100%, so every parameter (id, page, depth, order, exchange_ids, dex_pair_format, include_exchange_logo) is already documented with enums and defaults in the schema. The description contributes no additional parameter meaning, so the baseline 3 applies.

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

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

The description gives a specific verb (query) and resource (coin tickers) and scopes it to both CEX and DEX for a given coin ID, which an agent can distinguish from exchange-oriented siblings. It stops short of naming the nearest alternative, get_coingecko_exchanges_id_tickers, so it does not fully self-differentiate.

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

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

There is no explicit when-to-use or when-not-to-use guidance and no mention of the sibling get_coingecko_exchanges_id_tickers, which retrieves tickers from the exchange side. Usage is only implied by the resource described.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context beyond that: no rate limits, caching, pagination, or size characteristics of the full coin list, and no auth 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 core sentence is short, front-loaded, and free of padding. The appended pricing blockquote is boilerplate rather than description content, but it does not obscure the 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?

An output schema exists, so return values need not be explained, and the 100% schema coverage handles parameters. The remaining gap is routing guidance against the large sibling set, which is not addressed.

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

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

Schema description coverage is 100%, so both optional parameters (status filter, include_platform) are fully documented in the schema with defaults. The description adds nothing about them, so the baseline 3 is appropriate.

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

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

The description states a specific verb (query) plus resource (all supported coins) and names the returned fields (ID, name, symbol), which is concrete. However, it does not differentiate itself from close siblings like get_coingecko_coins_markets or get_coingecko_coins_id, so an agent must infer that this is the flat ID/name/symbol lookup rather than price or detail 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?

There is no when-to-use guidance, no exclusions, and no mention of alternatives. With roughly 20 coingecko siblings, an agent gets no explicit routing signal for choosing this list endpoint over markets, id, or search.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds no behavioral context beyond that — no pagination behavior, no rate-limit or quota notes, no indication of result size or cost implications beyond the boilerplate pricing line.

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

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

A single front-loaded sentence states the purpose immediately, with the pricing block appended as required boilerplate. Nothing is padded or redundant, though the sentence is arguably too sparse for a 14-parameter tool rather than truly 'concise'.

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?

An output schema exists, so return values need no explanation, and annotations cover the safety profile. But for a 14-parameter, highly configurable endpoint sitting among many overlapping CoinGecko siblings, the description omits any differentiation or scoping guidance an agent needs to select it correctly.

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

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

Schema description coverage is 100%, so all 14 parameters (including enums for order, locale, precision, include_tokens) are already documented in the schema. The description adds nothing parameter-specific, which matches the baseline 3 when the schema does the heavy lifting.

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

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

The description gives a clear verb and resource: query all supported coins with price, market cap, volume and market-related data. An agent knows what it returns. However, it does not distinguish this tool from close siblings like get_coingecko_coins_list, get_coingecko_simple_price, or get_coingecko_coins_id, so the 'which one do I call' question is left open.

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

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

There is no when-to-use guidance, no stated prerequisites, and no mention of alternatives in a sibling set of 27 tools. With get_coingecko_coins_list, get_coingecko_simple_price, and get_coingecko_coins_id all plausibly overlapping, the absence of routing guidance is a real 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds the meaningful behavioral constraint that only exchanges with active trading volumes are returned. The appended pricing block is harness metadata about billing, not tool behavior, so it earns no credit.

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 tool description itself is a single front-loaded sentence with no filler, and the key scope qualifier is stated up front. The only bloat is the injected pricing comment block, which is not part of the authored description.

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?

An output schema exists, so return values need not be explained, and annotations cover safety and idempotency. What remains thin is the routing relative to the near-identically named get_coingecko_exchanges_list sibling, which is the one thing an agent is most likely to get wrong.

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

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

Schema description coverage is 100%, with both page and per_page documented including defaults and the 1...250 valid range, so the schema carries the parameter burden. The description adds no pagination or format detail beyond that, making the baseline 3 appropriate.

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

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

States a specific verb and resource (query supported exchanges) and enumerates the returned fields (ID, name, country), which implicitly separates it from the bare get_coingecko_exchanges_list sibling. However, it never names that sibling, so an agent must infer the distinction from the 'with exchanges' data' phrasing rather than being told.

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

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

There is no explicit when-to-use or when-not-to-use guidance and no alternative is named. The phrase 'that have active trading volumes' hints at the result scope, but nothing tells the agent why it should pick this over get_coingecko_exchanges_list or get_coingecko_exchanges_id.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds what payload is returned and a pricing note, which is useful, but does not address pagination, rate limits, or auth, so it adds only moderate value beyond annotations.

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

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

The purpose is front-loaded in a single sentence with no filler; the only additional text is the auto-inserted pricing block. The sentence is slightly run-on with the enumeration of fields, but it is not padded.

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 an output schema present, return-value explanation is not strictly required, and annotations cover the safety profile, so the definition is largely adequate. The notable gap is guidance on when to pick this over the sibling list/tickers endpoints.

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

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

Schema description coverage is 100%, so the id and dex_pair_format parameters are fully documented in the schema. The description only restates that the lookup is keyed by exchange ID, adding no syntax or format detail beyond what the schema provides.

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

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

States a specific verb (query) and resource (exchange data: name, year established, country, volume in BTC, top 100 tickers) keyed by exchange ID. It is distinguishable from get_coingecko_exchanges (list) and get_coingecko_exchanges_list, though the mention of 'top 100 tickers' overlaps with the dedicated get_coingecko_exchanges_id_tickers sibling, creating mild 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?

There is no explicit when-to-use guidance, no exclusions, and no routing to alternatives such as get_coingecko_exchanges or get_coingecko_exchanges_id_tickers. Usage is only implied by the 'based on exchange's ID' phrasing.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds nothing behavioral beyond that – no pagination notes despite the 'page' param, no sort default behavior, no data-freshness or rate-limit context. The pricing boilerplate is billing metadata, not behavioral guidance.

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

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

The core sentence is short and front-loaded, but it is padded with the 'This endpoint allows you to' frame and a multi-line pricing block that consumes most of the text without aiding tool selection. The meaningful content is a single clause.

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

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

An output schema exists so return values need not be explained, and annotations cover safety. But for a 7-param, paginated, sortable list endpoint the description omits pagination semantics, default sort, and when to prefer it over sibling ticker tools, leaving it only minimally adequate.

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

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

Schema description coverage is 100%, so all seven parameters (including page, depth, order, coin_ids) are already documented in the schema. The description adds no syntax, format, or default guidance beyond what the schema provides, which is the baseline 3 case.

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

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

The description states a clear verb (query) and resource (exchange's tickers) bounded by exchange ID, which distinguishes it from get_coingecko_coins_id_tickers and get_coingecko_exchanges_id. However, the 'This endpoint allows you to' wrapper is filler and the purpose is not contrasted against those siblings explicitly.

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

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

There is no guidance on when to use this tool versus the many sibling ticker/exchange endpoints (get_coingecko_exchanges_id, get_coingecko_coins_id_tickers, get_coingecko_exchanges). The only implicit signal is the 'based on exchange's ID' scoping, with no exclusions or prerequisites stated.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds nothing beyond that — no note on result volume, pagination, caching, or that only active exchanges are returned by default. Only the injected pricing boilerplate adds any non-schema 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 core purpose is a single front-loaded sentence, which is good. However, the appended pricing block is multi-line boilerplate that inflates the definition without helping tool selection, and the purpose sentence contains redundant bolding markup.

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?

An output schema exists and annotations cover the safety profile, so return values and side effects need not be explained. Still, the description omits the default status filtering behavior that shapes the output, and gives no sibling routing, leaving a modest gap for an otherwise simple lookup.

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

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

Schema description coverage is 100%, so the single 'status' enum parameter (active/inactive, default active) is fully documented in the schema. The description contributes no additional semantics, which is the expected baseline when the schema does the heavy lifting.

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

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

States a specific verb ('query') and resource ('all the exchanges with ID and name'), and the title 'ID Map' confirms this is a lightweight identifier lookup rather than market data. However, it never distinguishes itself from siblings like get_coingecko_exchanges or get_coingecko_exchanges_id, which an agent must disambiguate among.

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 when-to-use context, no exclusions, and no routing to an alternative such as get_coingecko_exchanges for detailed data. The description also fails to mention the status filter (default 'active'), which materially changes the result set.

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

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description usefully adds the 24-hour time window, but says nothing about rate limits, freshness guarantees, or result ordering beyond that.

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

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

The core description is a single front-loaded sentence that states purpose and scope efficiently. The embedded pricing boilerplate adds some noise but is bounded and clearly demarcated.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. For a zero-required-parameter read tool, the description is nearly complete; only the missing alternative-tool routing keeps it from a top score.

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

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

Schema description coverage is 100%, with show_max fully documented including its enum-like accepted values, so the schema carries the parameter burden. The description adds no parameter meaning beyond what the schema provides, so baseline 3 applies.

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

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

States a specific verb and resource: 'query trending search coins, NFTs and categories', with the temporal scope ('last 24 hours') made explicit. This is clearly distinguishable from list/market siblings by the 'trending search' framing, though it does not name any sibling to contrast against.

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

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

There is no when-to-use or when-not-to-use guidance. An agent is left to infer that this is for surfacing currently-trending assets; alternatives like get_coingecko_coins_list, get_coingecko_coins_markets, or search are never mentioned as differentiators.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered structurally. The description adds no behavioral context beyond the purpose statement — no rate limits, caching, batching behavior, or auth requirements — so it contributes little beyond the annotations.

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

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

The core purpose is a single front-loaded sentence, which is good. However, the injected aisa-pricing boilerplate adds three lines of billing text irrelevant to tool selection or invocation, diluting an otherwise tight description.

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?

An output schema exists, so return values need no explanation, and the schema fully covers parameters while annotations cover safety. The remaining gap is routing guidance against the many sibling price/coin tools, which the description does not address.

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

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

Schema description coverage is 100%, so the schema already documents all 10 parameters including the enum constraints and comma-separated syntax. The description adds no syntax or semantic detail beyond what the schema provides, making the baseline 3 appropriate.

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

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

States a specific verb ('query the prices') and resource ('one or more coins') plus the three lookup keys (IDs, symbols, names), which maps cleanly to the title. It does not, however, distinguish itself from close siblings like get_coingecko_simple_token_price_id or get_coingecko_coins_markets, so an agent cannot route between them from this text alone.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of when a different sibling (e.g. token_price_id, markets, or coins_id_history) would be preferable. The agent is left to infer usage purely from the endpoint name.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety and idempotency profile is fully covered for this no-param read. The description adds 'all supported currencies' scope, which is useful, but doesn't explain return structure beyond what annotations and output schema already provide. With annotations carrying the behavioral burden, a 3 is appropriate.

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

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

The core description is a single efficient sentence with the resource front-loaded. It includes a pricing note that isn't strictly part of the tool semantics, adding a bit of noise, but the tool description itself is tight.

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

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

For a zero-parameter read-only list tool with an output schema and full annotations, the description covers what the tool returns ('all supported currencies'). An agent has enough to call it. It could note the list's typical use for constructing simple_price queries, but this isn't essential.

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?

Zero parameters, so baseline 4 applies. No parameter semantics needed.

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

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

States a specific verb and resource ('query all the supported currencies on CoinGecko') with clear scope ('all'). A named endpoint resource ('supported vs currencies') that's distinguishable from sibling list tools like get_coingecko_coins_list.

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

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

No guidance on when to use this versus alternatives. The description doesn't explain the relationship to sibling tools like get_coingecko_simple_price or get_coingecko_coins_list, or explain what this list is used for (e.g. as valid currency codes for simple_price).

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered elsewhere. The description contributes only the pricing note (a published reference rate per successful request), which is genuine cost context not present in structured fields. It adds nothing about rate limits, batching behavior, or result shape, so a 3 is appropriate given the low bar set by rich annotations.

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

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

The functional sentence is front-loaded and wastes nothing. The appended pricing block is boilerplate rather than author-chosen content, but it still adds length that dilutes the one useful sentence, keeping this just below a 5.

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 an output schema present, the description need not explain return values, and rich annotations cover safety. The schema carries all parameter detail. The only real gap is the unstated boundary with the ID-based simple-price sibling, which is a minor omission for an otherwise well-specified endpoint.

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

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

Schema description coverage is 100%, so all eight parameters — including precision enum, comma-separated multi-value handling, and the include_* flags — are documented in the schema itself. The description says 'one or more' tokens, which lightly reinforces the multi-address capability the schema already states. Baseline 3 applies when the schema does the heavy lifting.

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

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

The description states a specific verb and resource: query one or more token prices using token contract addresses. Combined with the title and the required contract_addresses parameter, an agent can tell it apart from get_coingecko_simple_price (which keys on coin IDs). It stops short of explicitly naming that sibling or stating the address-vs-ID distinction, so it is clear but not fully 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 explicit when-to-use or when-not-to-use guidance is given. Usage is only implied by the phrase 'using their token contract addresses', which suggests this is the right call when you have contract addresses rather than coin IDs. The agent must infer the boundary against get_coingecko_simple_price and get_coingecko_token_data on its own.

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

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

Annotations already declare the full safety profile (readOnly, idempotent, openWorld, non-destructive), so the description's job is to add beyond that. It does: it enumerates the returned data categories, and it discloses a concrete cost of $0.008 per successful request, which is real behavioral context an agent can budget against. It stops short of noting rate limits or response size for a data-heavy call.

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

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

One front-loaded sentence that leads with the action and follows with the returned payload; the pricing block is boilerplate but clearly delimited. The parenthetical 'etc.' lists are slightly bloated but still earn their place by conveying return scope.

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?

An output schema exists, so return values need not be explained, and annotations plus a 100%-covered 2-param schema leave little uncovered. The description adds the useful payload preview and cost. The remaining gap is disambiguation from the many overlapping CoinGecko siblings, which is the only material omission.

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

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

Schema description coverage is 100% — both id (asset platform, pointing at /asset_platforms) and contract_address are documented in the schema itself. The description merely restates these inputs in prose without adding format, casing, or lookup guidance, so the baseline 3 applies.

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

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

Specific verb (query) plus a concrete resource scope: metadata (image, websites, socials, contract address) and market data (price, ATH, tickers) keyed on asset platform + contract address. An agent can see exactly what payload this returns. It never distinguishes itself from near-neighbours like get_coingecko_coins_id or get_coingecko_simple_token_price_id, which is the only thing keeping it from a 5.

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

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

The phrase 'based on an asset platform and a particular token contract address' describes the input basis rather than when to reach for this tool over its 27 siblings. There is no statement of when-not-to-use or which alternative to pick when only a price or only metadata is wanted.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description adds the returned data shape (UNIX time, price, market cap, 24hr volume) and a per-request price, but says nothing about rate limits, pagination, or historical depth limits ('max'). With annotations doing the heavy lifting, this is an adequate 3.

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 functional sentence is single and front-loaded, and the injected pricing block is clearly delimited boilerplate rather than prose. Slight bloat from the pricing/metadata block, but the core content is tight.

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 rich annotations, full schema coverage and an output schema, so return values and safety need not be explained. The description is complete enough for correct invocation, though it omits sibling routing and any note on granularity behavior (interval vs days interaction).

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

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

Schema description coverage is 100% and two parameters carry enums, so the schema already documents id, days, interval, precision, vs_currency and contract_address thoroughly. The description adds no parameter-level meaning beyond echoing 'asset platform and particular token contract address'. Baseline 3 applies when the schema does the work.

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

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

The description states a specific verb (get) and resource (historical chart data) and names the disambiguating scoping dimension: 'based on asset platform and particular token contract address'. This implicitly separates it from the coin-id based siblings, but it never names get_coingecko_coins_id_market_chart or get_coingecko_token_market_chart_range explicitly, so differentiation requires inference.

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

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

There is no when-to-use guidance, no when-not-to-use, and no named alternative, despite several closely related siblings (get_coingecko_coins_id_market_chart, get_coingecko_token_market_chart_range) that an agent must choose between. The agent is left to infer the choice entirely from the resource wording.

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

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety is covered, but the description adds no behavioral context beyond that — no rate limits, no note that it is a paid endpoint beyond the injected pricing block, and no granularity/auto-interval behavior. It also says the range is 'in UNIX' while the schema instructs ISO date strings for best compatibility, which adds confusion rather than clarity.

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

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

The core purpose is front-loaded in a single dense sentence, but that sentence is over-long and contains the misleading 'in UNIX' claim. The appended pricing boilerplate consumes roughly half the text without helping an agent select or invoke the tool.

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

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

With an output schema and full annotation coverage, the description need not explain return values, and the inputs are documented in the schema. What is missing is the differentiation and usage context that would let an agent choose this tool over its range/market-chart siblings.

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

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

Schema description coverage is 100%, with defaults, enums and per-parameter docs already present, so the baseline is 3. The description only restates the high-level output dimensions (price, market cap, 24hr volume) and the platform/contract-address inputs without adding format, interval, or precision semantics 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 names a specific verb and resource ('get the historical chart data within certain time range... along with price, market cap and 24hr volume') and scopes it to a token contract address on an asset platform. It does not, however, distinguish itself from near-identical siblings such as get_coingecko_token_market_chart or get_coingecko_coins_id_market_chart_range, so the agent must guess which range/market-chart variant to call.

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

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

There is no explicit when-to-use guidance and no alternatives named, despite three closely related market-chart siblings in the list. The only usage signal is the implicit 'based on asset platform and particular token contract address', which is a scope statement, not routing guidance.

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

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds workflow behavior the annotations cannot: the has_full_schema flag gates a required batch_get_schema call, and the next step after search is batch_quote, not batch_use. It stops short of disclosing retrieval limits or catalog breadth that would push it to a 5.

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

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

It is a dense run of imperatives rather than flowing prose, but each sentence carries a distinct rule (scope, language, workflow branch, negative cases, result interpretation) and the most important scoping guidance is front-loaded. Slightly more compression would help.

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 an output schema present, the description need not explain return values, and it correctly avoids doing so while still referencing the output fields that drive the workflow (has_full_schema, next_steps_guidance). A mutation-free, well-annotated search tool is adequately covered, though catalog scope ('AIsa-only', no external providers) could be stated more explicitly.

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

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

Schema coverage is 100%, so the structured baseline is 3. The description adds genuine meaning beyond the schema by telling the agent to write the query in English and to place tickers, URLs, providers, or identifiers in known_fields, which is non-obvious routing guidance for a nested free-form object.

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 opens with a specific verb+resource: 'Discover AIsa tools and Plans for external data or actions.' It also separates this discovery step from the sibling execution tools by naming batch_get_schema, batch_quote, and batch_use and stating when each follows, so an agent can place it in the workflow without opening schemas.

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

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

It gives explicit when-to-use ('tasks needing external data or actions'), when-not ('tasks that only need supplied content or general knowledge'; no standalone rewriting, translation, summarization, formatting, or calculations), and named alternatives (batch_get_schema when has_full_schema=false, batch_quote rather than batch_use). It also specifies query language and atomic-query style, leaving little to inference.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=true, and openWorldHint=true, so the agent knows this is a state-changing, open-world operation. The description adds only the deprecation status and says nothing about what gets mutated, spend behavior (despite a max_price_usd param), or authorization needs.

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

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

A single clause with zero waste; the deprecation notice and the replacement are front-loaded. It is terse by design for a deprecated endpoint, though it is under-specified rather than optimally efficient.

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?

Has an output schema and annotations, which reduces the burden, but a 4-parameter operation tool with a deprecation notice gives no information about what it executes or whether it remains functional. For an agent deciding between this and batch_use, the description is thin.

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

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

Schema description coverage is 100%, so all four parameters (operation_id, arguments, search_id, max_price_usd) are already documented in the schema. The description adds no parameter meaning on top, so the baseline 3 applies.

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

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

The description never states what the tool does — no verb or resource. It only labels the tool as deprecated and points to a replacement, leaving the actual capability ('Run an AIsa operation' from the title) unexplained. An agent must infer the purpose from the title and schema alone.

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

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

It explicitly routes the agent to the alternative ('use batch_use instead'), which is exactly the guidance needed for a deprecated tool. It doesn't explain when, if ever, this tool should still be called (e.g., during a migration window), so it stops short of a 5.

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