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Glama

The Quiet Protocol Growth Offense MCP

Get Answer Bank

get_answer_bank
Read-only

Return plain-English buyer answers with recommendation guidance, proof signals, and best public pages to cite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
apiUrlYes
toolIdYes
answersYes
purposeNo
generatedAtNo
limitationsYes
methodologyYes
nextStepUrlYes
canonicalUrlYes
evidenceTypeYes
systemMappingYes
compactJsonUrlNo
inputAssumptionsYes
wellKnownJsonUrlNo
canonicalPublicUrlYes
evidenceReferencesYes
evidenceClassificationYes
machineReadableInterfacesYes

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 profile is covered. The description adds value by describing the nature of the response (plain-English answers, recommendation guidance, etc.), which goes beyond the annotations. However, it does not disclose any other behavioral aspects such as response format, pagination, or potential limitations, so it 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 description is a single sentence that immediately states the primary action and resource, followed by the key components of what is returned. It is front-loaded, does not waste words, and all information is relevant. It is an appropriately concise description.

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 and an output schema exists, the description is largely complete. It tells the agent what it will receive. However, it does not provide any guidance on when to use it or how it differs from related tools, which would improve contextual completeness. For a simple retrieval tool, this is adequate but not excellent.

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?

This tool has zero parameters, so the input schema is empty. The description does not need to explain parameter semantics; the baseline for 0 parameters is 4. The description provides no parameter info, but none is required. It accurately reflects that no input is needed.

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 it returns plain-English buyer answers with recommendation guidance, proof signals, and best public pages to cite. It identifies a specific resource (buyer answers) and the contents, which is enough to convey the primary purpose. However, it does not explicitly differentiate from sibling tools like get_buyer_guide or get_citation_kit, so it lacks that extra clarity.

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 alternatives. There is no mention of context, exclusions, or when to prefer this over similar retrieval tools. With many sibling tools, this is a significant gap – the agent must infer usage from the name and description alone.

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.

Resources