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mcpcost

Look up a registry server

lookup_server

Latest probe of one server from the official MCP registry: status, protocol, tool count, exact token cost of its tool definitions in Claude, latency. Accepts the registry name (io.github.owner/name) or the server URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameOrUrlYesRegistry name or https URL of the server

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It helpfully discloses the return payload (status, protocol, tool count, token cost, latency) and implies cached 'latest probe' data rather than a live fetch, but never states that it is read-only, side-effect free, or subject to rate/freshness limits.

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?

Two tight sentences, front-loaded with the resource and the payload list; every clause conveys either scope or return content. No filler, though the field enumeration is dense enough to read as a list rather than prose.

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?

With no annotations and no output schema, the description does the work of describing the returned fields, which is good. It still omits the check_server relationship and any statement about data freshness or safety profile, leaving meaningful gaps for a lookup tool with a confusingly similar sibling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and there is only one parameter, so the baseline is 3. The description goes slightly beyond the schema by giving the concrete accepted format (io.github.owner/name) alongside the URL form, which helps an agent construct a valid value.

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?

Names a specific verb (look up) and resource (one registry server) and enumerates the returned fields — status, protocol, tool count, token cost, latency. The 'one server' scope implicitly separates it from search_servers and registry_summary, but the near-identical sibling check_server is never distinguished.

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?

Single-server scope implies when this is preferred over search_servers/registry_summary, but there is no explicit when-to-use guidance and, critically, no differentiation from check_server, which an agent would plausibly confuse with this tool. Usage is inferable but not stated.

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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