Get Catalog
get_catalogFree discovery. Returns the list of live agent-ready data packs available on DaedalMap.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_catalogFree discovery. Returns the list of live agent-ready data packs available on DaedalMap.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safe read nature is covered. The description adds useful context by specifying the content (live agent-ready data packs on DaedalMap), but does not disclose rate limits, pagination, or response structure, leaving room for more transparency given the low complexity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. The first sentence sets context ('Free discovery') and the second clearly states the function. Every word earns its place, and it is maximally concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only list tool, the description is largely complete: it names the output (list of data packs) and the source (DaedalMap). It could be more thorough by explaining what 'agent-ready' means, but overall it provides enough context for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, and schema description coverage is 100% (vacuously). Since there are no parameters to explain, the description need not add parameter semantics, and the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns a list of live agent-ready data packs on DaedalMap, using a specific verb ('returns') and a distinct resource. It inherently differentiates from siblings like get_pack (specific pack retrieval) and query_dataset (data querying).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Free discovery' implies this tool is for initial exploration, and siblings suggest alternatives, but there is no explicit when-to-use or exclusions. The guidance is implied rather than stated, so it falls short of a clear directive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool serves a distinct purpose: get_catalog lists available packs, get_pack provides metadata for a specific pack, get_tool_help explains tool usage, and query_dataset fetches actual data. There is no overlap in functionality, and the descriptions clearly delineate when to use each.
Three tools follow a clear 'get_X' verb-noun pattern (get_catalog, get_pack, get_tool_help), but the fourth, query_dataset, breaks this with a different verb. While still readable and predictable, the mixed use of 'get_' and 'query_' is a minor inconsistency.
With only 4 tools, the server is well-scoped for its purpose: discovery (catalog), detailed metadata (pack), tool guidance (help), and data retrieval (query). Each tool is necessary and contributes to a cohesive workflow, fitting within the ideal 3-15 range.
The surface covers the full read-only lifecycle: discover packs (get_catalog), inspect a pack's metadata and usage (get_pack), understand tool-specific contracts (get_tool_help), and execute queries (query_dataset). No obvious gaps exist for the stated data access domain.