dataset_columnsThe columns, which of them are numeric, the row count and the provenance banner of the WalkthroughDesk dataset. Call this first to learn the schema.
| 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?
With no annotations, the description carries the burden of behavioral disclosure. It does disclose the returned content and implies a read-only metadata lookup via 'learn the schema,' but it does not explicitly state that the call is non-mutating, nor does it mention any access requirements or limits.
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?
A single sentence front-loads the output details and ends with a clear usage directive. There is no filler or redundancy.
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 schema-overview tool, the description covers the key outputs and tells the agent to call it first. 'Provenance banner' is slightly under-specified, but the overall context is sufficient for correct invocation.
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 and the input schema is empty, so the baseline is 4. The description has no parameter burden and accurately implies that no arguments are needed.
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 names a specific resource (WalkthroughDesk dataset) and the exact output: columns, numeric flags, row count, and provenance banner. It clearly distinguishes this schema-overview tool from the sibling tools, which handle compare, search, stats, row access, and provenance separately.
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 'Call this first to learn the schema' gives explicit when-to-use guidance—before other dataset operations. It does not enumerate exclusions or name alternatives, but the directive is strong enough to route an agent correctly.
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 has a clear role: schema, provenance, exact row lookup, substring search, compare, stats, and top/bottom rows. dataset_row and dataset_compare both filter rows, but the distinction between exact single-value lookup and ordered multi-value comparison is clear enough from the descriptions.
All tools follow a consistent dataset_<noun> pattern, making the tool family immediately recognizable and predictable. No mixed styles or vague verbs are present.
Seven tools is well-scoped for a dataset exploration server: schema, provenance, lookup, search, comparison, stats, and ranking cover the core operations without unnecessary redundancy.
The tool surface covers schema discovery, provenance, exact lookup, substring search, comparison, numeric statistics, and ordering, which covers most common dataset questions. Minor gaps exist such as no general multi-condition filtering or pagination for search results, but agents can work around these.