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cwi-discovery-engine

get_artist

Look up an artist by name. Returns the artist and their tracks in the catalog with Spotify URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesArtist name, e.g. "That Boy Hi Hat".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the response shape (artist and their tracks with Spotify URLs), which matters because there is no output schema, but it says nothing about authentication, rate limits, or what happens when the name does not match an artist.

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 short sentences with no filler, front-loading the action first and the payload second. Every clause adds information an agent can act on.

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?

For a one-parameter, read-only lookup with no output schema, the description covers both the operation and the returned content, which is the key missing structured information. Only the failure/empty-result behavior and the relationship to the search-oriented siblings are absent.

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?

There is a single required parameter with 100% schema description coverage, and the schema already includes an example value. The description only restates that lookup is by name, adding no syntax, normalization, or matching semantics beyond the schema, so baseline 3 applies.

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 (look up an artist by name) and adds what comes back (artist plus their tracks with Spotify URLs), so the purpose is unambiguous. It does not distinguish itself from siblings like get_track or search_catalog, which is the only thing keeping it from a 5.

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?

"Look up an artist by name" implies an exact-name retrieval, which is context an agent can use, but there is no explicit statement of when to prefer this over search_catalog, semantic_search, or sync_search. No exclusions or prerequisites are given, so usage must be inferred.

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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