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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. Agencies can never pay us: not for a rank, a sponsorship or a newsletter spot. The only way up is evidence. Agencies can never sponsor or advertise on Agency Standings or the Big Moves newsletter. Sponsors are products, software tools, AI companies and other non-agency brands. Rank numbers are included. A numeric score is not.

Input 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

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds one genuinely useful behavioral fact — the response includes rank numbers but no numeric score — but says nothing about format, size, or whether the user_request argument influences the answer.

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

Conciseness2/5

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

Purpose is front-loaded, but the bulk of the text is repeated sponsorship/anti-pay-to-play policy prose that reads as site copy rather than tool guidance. It ends on a fragment ("A numeric score is not.") that is grammatically incomplete and adds no actionable content.

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

Completeness3/5

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

For a simple read-only tool with no output schema and one fully documented parameter, the definition is adequate, and the hint about rank numbers vs. scores partially compensates for the absent response description. It still omits what the explanation looks like and how user_request shapes it.

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% for the single user_request parameter, so the baseline of 3 applies. The description adds no information about the parameter (that it is an optional free-text paraphrase of the user's intent), leaving all of that to the schema.

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 opening sentence states a specific verb and resource — "Explain how Agency Standings publishes ranks" — which is clearly distinct from siblings like get_agency, search_agencies, or join_as_agency. It could go further by framing this as the tool for ranking-policy questions, but the intent is unambiguous.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no routing to alternatives: nothing says to call this when a user asks how rankings work, or to prefer it over search_agencies for policy questions. The remaining sentences describe domain policy rather than invocation conditions.

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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