rankings_for_tool
Given a tool id, return the tool {id,name,slug} and every ranking it appears in [{id,title,slug,url,use_case,rank,badge}].
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tool_id | Yes | Tool id (from list_tools). |
Given a tool id, return the tool {id,name,slug} and every ranking it appears in [{id,title,slug,url,use_case,rank,badge}].
| Name | Required | Description | Default |
|---|---|---|---|
| tool_id | Yes | Tool id (from list_tools). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full behavioral burden. It discloses what the tool returns (tool info and rankings), but it does not mention any side effects, permissions, rate limits, or error behavior (e.g., handling invalid tool_id). The description is purely output-focused. For a tool with no annotations, this is insufficient for full behavioral 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 a single sentence that efficiently conveys the core behavior: input a tool id, output tool info and rankings. It front-loads the key action ('Given a tool id, return...'). However, it could be slightly improved by separating input and output specification more clearly. Overall, it is concise with no superfluous 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 the tool's simplicity (one parameter, no output schema), the description provides the essential structure of the return value. However, it lacks information about error handling (e.g., what if the tool id is invalid?), pagination (rankings could be many), or data freshness. For a minimal retrieval tool, it is adequate but not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is only one parameter, tool_id, and its schema description already explains it ('Tool id (from list_tools).'). The tool description adds no additional meaning or constraints beyond the schema. Since schema_description_coverage is 100%, baseline is 3. The description does not elaborate on format, source, or validation, so it meets but does not exceed the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: given a tool id, return the tool info and all its rankings. It specifies the output structure (tool info and array of ranking objects). This distinguishes it from sibling tools like 'get_ranking' (which fetches a single ranking) and 'tools_in_ranking' (which fetches tools for a ranking). The verb 'return' and specific resource 'every ranking it appears in' make the purpose 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?
The description implies usage context (when you need rankings for a specific tool), but it does not provide explicit when-to-use or when-not-to-use guidance. No alternatives are mentioned, such as using 'tools_in_ranking' for the inverse relationship. The agent must infer from sibling names, which may not be sufficient. A 3 reflects implied but not explicit guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool targets a distinct entity or action: list tools enumerate different content types, get tools retrieve specific entities, search finds across the catalogue, compare_tools does head-to-head comparison, and the two cross-reference tools (rankings_for_tool and tools_in_ranking) are inverse operations. No two tools have overlapping purposes.
Most tools follow a consistent verb_noun pattern (list_*, get_*, compare_tools, search), but 'rankings_for_tool' and 'tools_in_ranking' deviate with a noun_prep_noun pattern. These two are internally consistent with each other and remain readable, so the overall convention is only slightly disrupted.
16 tools is slightly above the ideal 3-15 range but still well-scoped for a catalogue covering seven entity types, search, comparison, and cross-references. Each tool has a distinct role and none are redundant, so the count feels justified rather than bloated.
The tool surface covers all major content types with list and get (except categories and toolkits, which only have list endpoints), plus search, comparison, and inverse cross-references. Minor gaps like missing get_toolkit or get_category are workaround-able since list_toolkits and list_categories expose sufficient metadata.