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Glama

Get Catalog

get_catalog
Read-only

Free discovery. Returns the list of live agent-ready data packs available on DaedalMap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

The description adds 'Free discovery' beyond the readOnlyHint annotation, but does not detail other behavioral traits such as response format or limitations. Since annotations already indicate read-only, the description provides marginal additional context.

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 extremely concise at two sentences, with no filler. Every word serves a purpose, and the key information is front-loaded.

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?

Given no output schema, the description adequately explains the return value (list of packs). With zero parameters and clear sibling differentiation, the tool is well-specified for its simplicity.

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

Parameters4/5

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

There are no parameters, so schema coverage is trivially 100%. The description adds no parameter-specific meaning, which is acceptable for a parameterless tool. Baseline score of 4 is appropriate.

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

Purpose5/5

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

The description clearly states it returns a list of live agent-ready data packs on DaedalMap, using a specific verb and resource. It distinguishes itself from siblings like get_pack (which likely returns a specific pack).

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 phrase 'Free discovery' implies it is for exploring available packs, but there is no explicit guidance on when to use this tool versus alternatives like get_pack. Usage context is implied rather than clearly stated.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool has a clear, distinct role: catalog discovery, pack metadata, tool help, data querying, and link searching. There is no overlap between any two tools; even get_catalog and get_pack differ as list vs. details.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: get_catalog, get_pack, get_tool_help, query_dataset, search_disaster_links. The verbs and nouns are consistently ordered, making the API predictable.

Tool Count5/5

Five tools is well-scoped for a data access facade. Each tool earns its place: discovery (catalog, pack, help), execution (query), and specialized search (links). No redundancy or bloat.

Completeness5/5

The server covers the full lifecycle of data exploration: discover available packs, inspect pack details, understand tool usage, execute queries, and search for relationships. There are no apparent dead ends—an agent can go from discovery to successful query.