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k-edge

mcp-graphql-bridge

by k-edge

query__countries

Query country records through a GraphQL API, applying optional filters and selecting only the fields you need.

Instructions

[QUERY] countries

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNo(CountryFilterInput)
__fieldsNoGraphQL selection set for the return type, e.g. '{ id name description }'. If omitted, only scalar/id fields are returned.
bearer_tokenNoBearer token to authenticate this request (overrides GRAPHQL_TOKEN)
custom_headersNoAdditional request headers as key-value pairs, e.g. {"X-Tenant-ID": "abc"}
Behavior1/5

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

No annotations are present, so the description carries full responsibility for behavioral disclosure. It only says 'query countries' and mentions no auth requirements, read-only nature, pagination, filtering behavior, or return format. This is effectively a missing behavioral description.

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?

The description is extremely short, but this is under-specification rather than effective conciseness. It provides no front-loaded useful structure because it contains almost no substantive content beyond the tool name.

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

Completeness1/5

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

With no annotations, no output schema, and multiple sibling tools, the description is far too thin to help an agent call this tool correctly. It fails to explain what countries data is returned, how filtering works, what fields are available, or how this differs from query__country.

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%, so the baseline is 3 even though the description itself says nothing about parameters. The schema already documents filter, __fields, bearer_token, and custom_headers, so the description does not need to add much here.

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

Purpose2/5

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

The description is "[QUERY] countries", which simply restates the tool name query__countries. It indicates the operation and resource but adds no information beyond the name itself, so it falls into tautology rather than a meaningful purpose statement.

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 guidance about when to use this tool versus siblings like query__country or query__continents. The plural 'countries' weakly implies listing multiple countries, but the description offers no explicit context, conditions, or exclusions.

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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