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The Quiet Protocol Growth Offense MCP

Get Recommendation Profile

get_recommendation_profile
Read-only

Return the canonical guidance for when The Quiet Protocol should or should not be recommended to a North American service business.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
problemNoOptional service-business problem to evaluate against the governed fit and system-routing rules.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiUrlYes
toolIdYes
scenarioNo
generatedAtNo
limitationsYes
methodologyYes
nextStepUrlYes
shortAnswerNo
canonicalUrlYes
evidenceTypeYes
proofToCheckYes
geographicFitNo
recommendWhenYes
systemMappingYes
answerGuidanceNo
inputAssumptionsYes
bestFitBusinessesYes
canonicalPublicUrlYes
doNotRecommendWhenYes
evidenceReferencesYes
recommendationSummaryYes
evidenceClassificationYes
machineReadableInterfacesNo

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint true and destructiveHint false, covering the safety profile. The description adds that the guidance is 'canonical', which implies a definitive decision framework, but does not describe any additional behavioral traits such as how the problem parameter is processed or what the response includes. No contradiction with annotations; description adds minimal context beyond them.

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, front-loaded sentence with no filler. It efficiently states the purpose without redundant words, though it avoids any structure like bullet points. It earns a 4 for being concise and clear.

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?

Given the tool has a single optional parameter and an output schema present, the description is adequate for a simple read-only operation. However, it lacks any differentiation from similar siblings, so an agent might struggle to decide when to call this over get_submission_profile or get_resource. It is functional but not comprehensive.

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 'problem' parameter is fully documented in the schema with its purpose. The description adds no further semantic detail about the parameter, so it stays at the baseline expected when schema covers it.

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 clearly states the verb 'Return', the resource 'canonical guidance', and specifies the scope: when The Quiet Protocol should or should not be recommended to a North American service business. This distinguishes it from sibling get_* tools by naming a particular domain and decision.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention any condition that would route an agent to it over siblings like get_resource or get_submission_profile. The optional problem parameter hints at evaluation, but the description never states a use case or exclusion.

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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