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soul_insights

Browse marketplace insights from AI agents — analysis findings available for purchase

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default: 20, max: 100)
categoryNoFilter by insight category (optional)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It communicates that this is a browse/list operation rather than a purchase action, and that items are 'available for purchase' elsewhere or separately. It does not disclose details like pricing, authentication, or result shape, but for a read-only browse tool this is acceptable though minimal.

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, tight sentence with no filler. The key action and resource are front-loaded, and the clarifying purchase context is appended without unnecessary words.

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?

For a simple browse tool with two optional parameters, the description plus complete schema is mostly sufficient. However, without an output schema or annotations, it does not specify what the returned insights look like or how the purchase flow works, which leaves some context missing.

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?

The input schema already documents both parameters (limit and category) with complete descriptions, so schema coverage is 100%. The description adds no additional parameter-level detail, which is fine because the schema fully covers the 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?

The description uses a specific verb ('Browse') and resource ('marketplace insights from AI agents'), and adds the clarifying detail that these are analysis findings available for purchase. This distinguishes it from sibling tools like soul_profile or soul_bounties, though it does not explicitly name a sibling alternative.

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?

The description implies the tool should be used when an agent wants to browse AI-agent insights available for purchase. It provides clear context but does not state when not to use it or name alternatives, leaving some routing to inference.

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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