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get_subcategories

Catalog subcategories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoDecimal degrees. Send a number, not a string.
lngNoDecimal degrees. Send a number, not a string.
radius_kmNoRadius in kilometers. Send a number, not a string.
selected_typeNoselected_type
selected_moodsNoselected_moods

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • addedInput schema / properties / lat / description
      Added value: +"Decimal degrees. Send a number, not a string."
    • changedInput schema / properties / lat / type
      Previous value: -"string"New value: +"number"
    • addedInput schema / properties / lng / description
      Added value: +"Decimal degrees. Send a number, not a string."
    • changedInput schema / properties / lng / type
      Previous value: -"string"New value: +"number"
    • addedInput schema / properties / radius_km / description
      Added value: +"Radius in kilometers. Send a number, not a string."
    • changedInput schema / properties / radius_km / type
      Previous value: -"string"New value: +"number"
    • addedInput schema / properties / selected_moods / description
      Added value: +"selected_moods"
    • addedInput schema / properties / selected_type / description
      Added value: +"selected_type"
  2. Added

TDQS

D1.7/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden, yet it discloses nothing: no read-only indication, no auth requirements, no return format or pagination behavior. The geo-flavored parameters hint at location-scoped queries that the description never acknowledges.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single two-word fragment is technically short but represents under-specification rather than conciseness. There is no front-loaded intent, scope, or routing information to earn the sentence's place.

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

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 5-parameter tool with no annotations, no output schema, and opaque enum-free filter parameters, this description is completely inadequate. An agent cannot determine what it returns or when it is the right tool.

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%, so the baseline is 3. However, the schema's own descriptions for selected_type and selected_moods are tautological ("selected_type"), so neither schema nor description explains what those filters mean or how lat/lng/radius_km scope the catalog.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Catalog subcategories" is a bare verb+resource fragment with no domain context. Among ~40 siblings (get_genres, get_neighborhoods, get_places, etc.) there is no way to tell what these subcategories belong to or how this differs from those catalog-listing tools.

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

Usage Guidelines1/5

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

The description provides no when-to-use guidance, no preconditions, and no reference to any alternative tool. The agent must guess entirely from the name.

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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