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compare_creators

Compare multiple creators’ claims and quoted transcript passages on a topic to reveal where they agree or disagree, with citations for both sides.

Instructions

Compare what several creators say about a topic: per creator, their claims (with quotes and timestamp URLs) plus matching transcript passages. Use it to show where creators agree or disagree, and cite both sides.

Input Schema

NameRequiredDescriptionDefault
topicYes
creatorsYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden and does add real value by disclosing that results are per-creator with quotes, timestamp URLs, and transcript passages. It says nothing about whether creators must already exist in the brain, what happens with unknown or ambiguous creator strings, or whether this is an expensive multi-step operation.

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?

Two sentences with no wasted words: the operation and its result shape come first, the usage scenario second. Nothing is buried and nothing is repeated.

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

Completeness3/5

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 spelled out, and the description still adds output flavor. But with zero annotation coverage and a completely undocumented input schema, the description leaves preconditions, failure modes, and parameter formats unaddressed for what is likely an expensive multi-creator retrieval.

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 coverage is 0% and neither parameter has a description, so the description must compensate. It implies 'topic' is a free-text subject and 'creators' is a multi-value set, but it never says whether creators are names, IDs, or handles, how matching works, or how many are allowed — a significant gap for the only two inputs.

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 names a specific verb+resource ('Compare what several creators say about a topic') and even sketches the shape of the output (claims with quotes and timestamp URLs, plus matching transcript passages). It is clearly distinguishable from lookup-style siblings like search_brain or get_topic, though it never names an alternative to route against.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use it to show where creators agree or disagree, and cite both sides' gives a concrete use case, so the intended usage is implied rather than left fully opaque. But there is no when-not guidance, no statement of prerequisites (do creators need to be registered first?), and no comparison against search_brain for the simpler single-topic lookup.

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