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Vendor Coverage

vendor_coverage
Read-onlyIdempotent

Which software vendors are tracked for changelog and release activity, and how healthy each feed is — the vendor name, its domain, what kind of source is watched (changelog feed vs GitHub releases), when it was last polled successfully, and how many changes are on file. Call this before concluding a vendor has been quiet: a vendor that is not on this list has no data rather than no activity. Example: vendor_coverage({}); vendor_coverage({ vendor: "stripe" }). Keyless.

Input Schema

NameRequiredDescriptionDefault
vendorNoOptional — check one vendor by name or domain

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnly/idempotent/non-destructive/openWorld, and the description adds real value on top: it declares the tool is 'Keyless' (no auth needed) and spells out the semantics of missing data, which prevents a false 'vendor is quiet' conclusion. It does not discuss pagination or rate behavior, but for a read-only listing that is minor.

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?

Front-loaded with the resource and its returned fields, then the usage rule, then compact examples. The middle clause is dense but every sentence carries information; nothing is pure filler.

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?

With no output schema, the description compensates by listing the returned fields, and it flags the key auth fact (keyless) and the absence-vs-quiet interpretation pitfall. Complete enough to invoke correctly; only minor gaps remain around result format and scale.

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% and there is only one optional parameter, so the schema already carries the meaning ('check one vendor by name or domain'). The description's inline examples show both the no-arg and vendor-scoped forms, adding a little practical context but no syntax beyond the schema — baseline 3 is appropriate.

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?

The description names a specific resource (tracked software vendors and their changelog/release feeds) and enumerates the exact fields returned: vendor name, domain, source kind, last successful poll, and change count. It is clear what the tool does, though it never explicitly names sibling tools like vendor_recent_changes or vendor_signal_sweep to sharpen the boundary.

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?

It gives a concrete when-to-use trigger ('Call this before concluding a vendor has been quiet') plus a crucial interpretive rule (absence means no data, not no activity). It does not name an alternative tool or state when not to use it, so it stops shy of a 5.

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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