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autkucakan

market-research

by autkucakan

compare_audiences

Compare audience segments side by side across workflows, toolchains, and pain points to reveal key differences and guide market research decisions.

Instructions

Compare two or more audience segments side by side across workflows, toolchains, and pains.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes
audience_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It says nothing about whether this is a read-only analysis, what the run_id scoping means, whether the call is expensive or rate-limited, or what happens if an audience ID is invalid. Only the comparison facets are disclosed.

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?

A single, tight sentence with the verb and resource front-loaded and no filler. It is efficient, though the brevity is partly the source of the gaps elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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 needn't be explained, but the required run_id parameter is completely undocumented anywhere and there is no guidance on obtaining audience IDs. For a two-required-parameter analytical tool with zero annotation coverage, the description leaves too much unresolved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both parameters. The description hints that audience_ids holds two or more segments, but says nothing about run_id — an unexplained required string whose origin is left unstated. The description does not compensate for the coverage gap.

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 (compare) and resource (audience segments) and names the comparison dimensions (workflows, toolchains, pains). This distinguishes it from the other compare_* siblings like compare_needs, compare_evidence, and compare_sources by resource. It stops short of a 5 only because it doesn't explicitly route against the closest alternative (find_audiences).

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 phrase 'two or more' implies a minimum input count, but there is no when-to-use guidance, no prerequisites, and no named alternative for retrieving audience IDs first. An agent gets no help deciding between this and find_audiences or compare_needs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.