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Agency Standings

Get methodology

get_methodology
Read-only

Explain how Agency Standings publishes ranks. Real rankings, earned through evidence: client results, testimonials and published work. Rank numbers are included. A numeric score is not.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_requestNoA short paraphrase of what the user is looking for, in their words (no personal or sensitive info).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine behavioral context beyond that: it discloses that the returned explanation includes rank numbers but not a numeric score, which is useful since no output schema exists. It still omits anything about permissions, rate limits, or freshness of the ranking rules.

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

Conciseness4/5

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

Four short sentences, front-loaded with the core purpose, so there is little wasted verbiage. The middle sentence ('Real rankings, earned through evidence: client results, testimonials and published work') leans promotional rather than functional, which keeps it from a 5.

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

Completeness4/5

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

For a zero-required-parameter read-only explainer with no output schema, the description covers purpose and the key content distinction (rank numbers present, numeric score absent). It could say more about what the explanation covers, but nothing critical to invoking the tool is missing.

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

Parameters3/5

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

Schema description coverage is 100% and the single optional user_request parameter is fully documented in the schema, so baseline is 3. The description adds nothing about the paraphrase parameter or its purpose.

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

Purpose4/5

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

The description names a specific verb and resource (explain the ranking methodology) that clearly separates it from siblings like get_agency, search_agencies, and search_work, which all deal with agency data rather than ranking rules. It falls short of a 5 only because the closing lines about rank numbers vs. numeric scores read as content claims rather than a crisp statement of what the tool returns.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer this is the tool for questions about how rankings work, but the description never states when to call it versus get_started or get_agency, nor any exclusion or trigger phrasing. No alternative is named.

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

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