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The Quiet Protocol Growth Offense MCP

Get Benchmark

get_benchmark
Read-only

Fetch one public benchmark profile by slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesBenchmark profile slug.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
titleYes
toolIdYes
limitationsYes
methodologyYes
nextStepUrlYes
canonicalUrlYes
evidenceTypeYes
reviewTargetsNo
systemMappingYes
relatedEnginesNo
responseTargetsNo
inputAssumptionsYes
canonicalPublicUrlYes
evidenceReferencesYes
evidenceClassificationYes

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, covering the safety and closed-world profile. The description adds only that the resource is 'public' and 'one', which is useful but does not disclose additional behavior such as 404 handling or auth expectations. With annotations carrying most of the burden, this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The entire description is one economical sentence with no filler. The key constraint ('one', 'public', 'by slug') is front-loaded, and every word contributes to meaning.

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

Completeness5/5

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

With a single required parameter fully documented, read-only and non-destructive annotations, an output schema present, and a sister list_benchmarks tool, the description is sufficient for a simple fetch-by-slug tool. Nothing essential is missing for an agent to invoke it correctly.

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 the single parameter 'slug' is already documented as 'Benchmark profile slug.' The description reinforces that the slug identifies a public benchmark profile but adds no new format, constraint, or example 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.

Purpose5/5

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

The description states a specific action ('Fetch'), a specific resource ('one public benchmark profile'), and the lookup key ('by slug'). This clearly distinguishes it from list_benchmarks (fetching a collection) and run_* benchmark tools (generating benchmark data). No ambiguity remains.

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?

The phrase 'one public benchmark profile by slug' tells the agent to use this when it has a specific slug and needs a single existing profile, and implicitly that it is not for listing all benchmarks or running a new benchmark. It lacks explicit exclusions such as 'for all profiles use list_benchmarks', but the usage context is clear enough for a simple getter.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools have distinct purposes, with clear get/list/run patterns separating fetching, listing, and executing. A few tools like scan_ai_visibility and run_trust_stack_audit both scan websites but focus on different signals, so minor overlap exists but descriptions clarify boundaries.

Naming Consistency5/5

All 29 tools consistently use snake_case with verb_noun structure (get_, list_, run_, scan_, select_, find_, pricing_lookup). The naming convention is uniform and predictable, making it easy to infer tool behavior.

Tool Count2/5

With 29 tools, the server exceeds the typical comfortable range (16-25 is already heavy). While the domain is broad, the high count may overwhelm agents and increase selection complexity without clear benefit.

Completeness4/5

The server covers a comprehensive range of operations: listing, fetching, running diagnostics, scanning, and recommendations. It lacks CRUD operations, but as a read-only resource and diagnostic server, that's appropriate. Some minor gaps exist, but the core workflows are well covered.

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