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The Quiet Protocol Growth Offense MCP

Public Pricing and Scope Lookup

pricing_lookup
Read-only

Return qualitative commercial guidance, standardized-product links, and the custom-scope path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
offersYes
toolIdYes
guidanceYes
scopeUrlYes
pricingUrlYes
limitationsYes
methodologyYes
nextStepUrlYes
canonicalUrlYes
evidenceTypeYes
systemMappingYes
inputAssumptionsYes
canonicalPublicUrlYes
evidenceReferencesYes
evidenceClassificationYes

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety is covered. The adds that the tool returns 'qualitative commercial guidance, standardized-product links, and the custom-scope path,' which hints at the nature of output but doesn't disclose any additional behavioral expectations (e.g., no side effects, no input requirements). the annotations cover the core safety traits, the description provides modest added context, earning a 3.

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 description is a single, well-structured sentence that names three concrete outputs. It concise, front-loads the action, and contains no filler. Every word earns its place, and it's immediately scannable for an agent.

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?

Given the tool has no parameters, annotations that cover the safety profile, and an output schema (as indicated), the description is nearly complete. It explains the high-level result types, and the output schema handles structure. The only gap is lack of usage context, but that's more of a usage-guideline concern than completeness of the tool's purpose. For a zero-param, read tool, this is adequate.

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?

The tool has zero parameters, so the input schema is trivially complete (100% coverage). The description doesn't need to explain parameters since there are none. Per the rubric, a zero-parameter gets a baseline of 4, and there's no reason to deviate—nothing is unexplained about the invocation.

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 clearly states the tool's action ('Return') and the resource scopecommercial guidance, standardized-product links, custom-scope path). It distinguishes the tool's output from typical siblings like get_resource or get_, though it doesn't explicitly name an alternative. The purpose is specific and actionable, but falls short of 5 because doesn't explicitly differentiate from the closest sibling.

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 guidance on when to use this tool versus the many sibling toolse.g., get_buyer_guide, get_kit, list_res). It only states it returns, not the conditions that make it the right choice. An agent would to infer its applicability from the vague 'commercial guidance phrasing, which is insufficient given the breadth of alternatives.

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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