Skip to main content
Glama
gatefareio

gatefareio/mcp-server

Official
by gatefareio

gatefare.publisher_reputation

Read-onlyIdempotent

Assess an API publisher's trust badges for established, top contributor, and highly rated status before calling. Use it to gauge counterparty risk with unfamiliar APIs.

Instructions

Look up the publisher of an API and return their positive-only trust badges: Established (>=3 months tenure), Top contributor (>=1M lifetime successful calls), Highly rated (>=4.5 avg across >=10 reviews). New publishers come back unmarked — absence of badges is NOT a warning, just a lack of accumulated signal. Use this BEFORE calling an unfamiliar API to gauge counterparty risk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoAPI slug, e.g. 'demo-weather'
handleNoPublisher handle
urlNameNoAPI URL name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnly/openWorld/idempotent annotations, the description adds crucial interpretive context: badges are positive-only, and absence of badges is 'NOT a warning, just a lack of accumulated signal.' This prevents the agent from misreading an unmarked result as a negative signal, which is highly valuable behavior disclosure.

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

Conciseness5/5

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

Three sentences, each earning its place: the purpose, the badge criteria, the important absence-is-not-warning caveat, and when to use it. The most actionable guidance is front-loaded, with no filler or repetition of annotation fields.

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?

The description covers the tool's safety profile via annotations, the badge semantics, the new-publisher case, and the recommended usage moment. With no output schema, the description does not specify the exact return shape, and the relationship between the three optional parameters remains ambiguous, but the core decision-making context is present.

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 coverage is 100%, so the baseline is 3. The schema describes each parameter individually, but the description does not clarify how slug, handle, and urlName relate—whether they are aliases, which takes precedence if multiple are supplied, or whether any one is sufficient. The description adds no meaning beyond the schema.

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

Purpose5/5

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

The description clearly states a specific verb and resource: 'Look up the publisher of an API' and return their trust badges. It also differentiates itself from sibling tools like get_api and search_apis by focusing on publisher reputation rather than API details or discovery.

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

Usage Guidelines4/5

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

The description gives explicit usage context: 'Use this BEFORE calling an unfamiliar API to gauge counterparty risk.' It does not explicitly name alternatives or exclusion conditions, but the 'before calling an unfamiliar API' guidance is clear enough for an agent to select this tool appropriately.

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