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mcp.market gateway

Describe a server and its tools

describe

Full detail for one server: user rating and what reviewers said, safety grade and scan summary, adoption, price, and every tool with its input schema and whether it performs write actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serverYesRegistry name (io.github.acme/shopify) or mcp.market slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose that the tool returns a comprehensive detail object including safety grade, adoption, price, and per-tool write-action flags. However, it does not mention whether this is a read-only operation, whether it requires authentication, or whether the server name must be exact. The description adds meaningful behavioral context but leaves some gaps.

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?

The description is a single, information-dense sentence that front-loads the purpose ('Full detail for one server') and then lists the included content. It is concise and every phrase adds value. It could be slightly more structured with separators, but it is efficient and readable.

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 single-parameter lookup tool with no output schema, the description is quite complete: it tells the agent what input is needed and what the response will contain. The main gaps are lack of explicit read-only confirmation and no guidance on error cases (e.g., unknown server). Given the tool's simplicity, this is a strong but not perfect definition.

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 schema already documents the single parameter (server) with its format examples. The description does not add new parameter-level meaning beyond what the schema provides, but it does imply that the server identifier is a registry name or slug. Baseline 3 is appropriate since the schema fully covers the parameter.

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 states a specific verb ('describe') and resource ('one server'), and enumerates the exact detail categories returned: user rating, reviewer comments, safety grade, scan summary, adoption, price, and every tool with its input schema and write-action status. This clearly distinguishes it from siblings like search (which would find servers) and call (which would invoke a tool).

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?

The description implies usage: call this when you need full detail for a single server. It does not explicitly state when not to use it or name alternatives (e.g., use search to find servers first, use call to invoke a tool). The context is clear enough for an agent to infer the right time to use it, but there is no explicit routing guidance.

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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