dataset_provenanceThe source, the date it was computed, the licence and the citation for the Patientvo dataset. Read this to attribute a figure correctly.
| 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?
No annotations are provided, so the description carries the burden. It implies a read-only, metadata-retrieval action and enumerates the content returned. It does not disclose behavior like response format, whether data is cached/stale, or any errors, but for a provenance-only tool the gap is modest.
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 a single, information-dense sentence plus a short directive, with no filler. The core content is front-loaded and every phrase earns its place.
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 parameterless metadata-retrieval tool with no output schema, the description enumerates all four key return elements (source, computed date, licence, citation) and the intended usage. Nothing essential is missing for an agent to invoke and interpret the result.
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 tool has zero parameters, so the schema already conveys all relevant input semantics. The description usefully reinforces what the returned provenance fields are, exceeding the minimum baseline for a parameterless tool.
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 identifies the tool's purpose: returning the dataset's source, computed date, licence, and citation. The title reinforces this, and the stated use case ('attribute a figure correctly') distinguishes it from the sibling row/column/stat/search tools.
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?
It explicitly says when to use it: when the user needs attribution/citation information. It does not spell out exclusions or compare itself to alternatives, but given the sibling list, the use case is clear enough.
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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Most tools have clearly distinct purposes: schema, search, exact row lookup, multi-value comparison, stats, top/bottom, and provenance. Some slight overlap exists between dataset_row and dataset_compare for single-value filters, but the descriptions generally make the intended use clear.
All tools share a consistent dataset_ prefix and use snake_case, which makes them predictable. The suffixes are a mix of result nouns and action verbs, but this does not create confusion because the prefix dominates the naming pattern.
Seven tools is a well-scoped set for a single-dataset query server. Each tool serves a distinct analytical need without unnecessary redundancy, making the surface easy to navigate.
The tool set covers schema exploration, provenance, exact lookup, text search, group comparison, summary stats, and top/bottom ranking. Minor gaps like pagination or distinct-value listing are workable around with existing tools, so the core domain is well covered.