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Glama

The Quiet Protocol Growth Offense MCP

Run Competitor Intake Scanner

run_competitor_intake_scanner
Read-only

Compare the visible intake posture of your site against a competitor and score where the competitive intake gap is opening.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesPrimary city or market.
nicheYesBusiness niche or vertical.
businessUrlYesThe business website URL.
competitorUrlYesA competitor website URL.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
toolIdYes
evidenceNo
fastWinsYes
findingsYes
scoreBandYes
subScoresNo
bookingCtaNo
engineSlugYes
limitationsYes
methodologyYes
nextStepUrlYes
canonicalUrlYes
evidenceTypeYes
overallScoreYes
rubricVersionYes
systemMappingYes
competitiveGapNo
intakeGapScoreNo
businessStrengthNo
inputAssumptionsYes
canonicalPublicUrlYes
competitorStrengthNo
evidenceReferencesYes
recommendedResourcesNo
evidenceClassificationYes

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, which covers the safety profile. The description adds the concept of 'visible intake posture' and 'competitive intake gap,' which is domain-specific context but does not disclose additional behaviors like rate limits, authentication, or data scope. Given the annotations, the description is adequate but adds minimal behavioral detail.

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 front-loads the verb and outcome. It has no filler and directly states the tool's purpose. It is appropriately concise.

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?

An output schema exists, so return values are covered by structured data. The description sufficiently describes the core function of comparing a business site with a competitor. It could be argued that 'visible intake posture' is jargon, but the parameters and niche/city context make it clear enough. The description is complete for an agent to know when and how to invoke it, given it has the schema.

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 each parameter has a clear description (city, niche, businessUrl, competitorUrl). The description does not add any extra meaning about how the parameters interact or what each contributes to the comparison. The baseline of 3 applies because the schema does the heavy lifting.

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 states a specific verb ('compare') and resource ('visible intake posture of your site against a competitor'), and it describes the scoring outcome. It is clear what the tool does, but it does not explicitly distinguish itself from sibling tools like run_front_door_benchmark or run_review_velocity_benchmark.

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 scanning/benchmark tools. An agent must infer from the name and parameters. There are no explicit conditions or alternatives mentioned.

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