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outmano_get_feature_gaps

Read-onlyIdempotent

List the features your tracked competitors market on their sites that YOUR site doesn't mention, ranked by how many rivals have each one. For every gap you get each rival's own label and description for the capability. Two uses: (1) find missing features worth building — majority_of_rivals: true flags table stakes; (2) find features you already have but under-market — a gap you know you ship means your site isn't selling it, and the rival descriptions show how others position it.

Input Schema

NameRequiredDescriptionDefault
categoryNoFilter to one category: core_workflow, collaboration, integrations, automation, analytics_reporting, ai_capabilities, security_compliance, administration, developer_api, mobile_platform, other

Output Schema

NameRequiredDescriptionDefault
youYesYour own product's name
gapsYesSorted by rivals_with_count, then name
noteYes
gap_countYes
aligned_rival_countYesRivals whose features are mapped onto the catalog

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the description is free to add semantics — and it does: results are ranked by rival count, and each gap carries every rival's own label and description. It doesn't discuss result size, pagination, or what happens when the competitor set is empty.

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?

Front-loads the definition before the enumerated use cases, and no sentence is filler. The second sentence is long and packs two ideas with an em dash, which slightly dilutes scannability.

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 shape needn't be spelled out, and the description still sketches the payload (per-rival labels and descriptions). It omits any prerequisite that competitors and your own site must already be tracked, and never mentions the category filter.

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 optional `category` param is fully documented with its enum-like value list, so the description adds nothing about filtering. The mention of majority_of_rivals is likely an output field rather than an input, so it doesn't compensate for input semantics.

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?

States a specific verb and resource with precise scope: features competitors market that YOUR site doesn't mention, ranked by rival count. The gap-analysis framing implicitly separates it from outmano_get_feature_matrix, but no sibling is named explicitly, so an agent must infer the boundary.

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?

Gives two concrete, actionable scenarios — building missing features (with majority_of_rivals: true flagging table stakes) and fixing under-marketed existing features. There is clear context for when to reach for it, but no explicit exclusion or named alternative such as the feature matrix for full side-by-side comparison.

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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