Skip to main content
Glama
k-edge

mcp-graphql-bridge

by k-edge

query__continents

Retrieve continent data from a GraphQL API by applying filters and selecting fields. Use this tool to fetch continent records with custom authentication and headers.

Instructions

[QUERY] continents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNo(ContinentFilterInput)
__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"}
Behavior2/5

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

With no annotations, the description bears the full burden of behavioral disclosure. '[QUERY]' at least implies a read operation, but nothing is said about side effects, authentication expectations, filtering behavior, pagination, or return shape.

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 useful conciseness. A two-word label cannot convey the behavior or selection criteria an agent needs.

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?

This tool has four parameters, no output schema, no annotations, and many sibling query tools, yet the description provides no operational context. An agent cannot reliably know what filter formats are expected, whether __fields is required, or how this differs from the singular continent query.

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?

The input schema already documents all four parameters with 100% coverage. The description adds no additional meaning to filter, __fields, bearer_token, or custom_headers, so baseline 3 is appropriate.

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 simply '[QUERY] continents', which essentially restates the tool name. It offers no meaningful explanation of what the tool returns or how it differs from the sibling query__continent.

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 on when to use this tool versus query__continent, query__countries, or execute_graphql. The agent must infer the intended usage entirely from the name, with no explicit context or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/k-edge/mcp-graphql-core'

If you have feedback or need assistance with the MCP directory API, please join our Discord server