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Glama

Public Data Catalog

Execute a reviewed retrieval contract

execute
Read-only

Run one allowlisted, bounded HTTPS GET contract and return extracted values, provenance, and an integrity receipt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recipeIdYes
parametersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
receiptYes
resultsYes
questionYes
recipe_idYes
elapsed_msYes
parametersYes
provenanceYes
request_urlYes
retrieved_atYes
interpretationYes
contract_versionYes

Schema Changelog

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

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate read-only and non-destructive behavior. The description adds that it is a bounded HTTPS GET and returns specific items, providing some context beyond annotations. However, it does not disclose auth requirements, rate limits, or potential side effects (though none expected).

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?

Single sentence with efficient wording, no redundancy. All necessary high-level information is front-loaded without extraneous details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and a single required parameter, the description is partially complete. However, it omits explanation of the optional parameters object and does not describe the output in detail. The existing output schema partially compensates, but the lack of parameter semantics is a notable gap.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description provides no explanation of the two parameters (recipeId and parameters). The meaning of recipeId is somewhat inferable from the tool's name and title, but the parameters object and its constraints are unexplained. The output schema exists but is separate; this is a gap.

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?

Description clearly states the action (execute), resource (retrieval contract), constraints (allowlisted, bounded, HTTPS GET), and outputs (extracted values, provenance, integrity receipt). It distinguishes from siblings by describing a specific execution action as opposed to search or verify.

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?

Description implies usage for executing a contract but does not provide when-to-use or when-not-to-use guidance relative to siblings search_data and verify. No explicit exclusions or alternative selection criteria are given.

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

A4/5.0
Disambiguation5/5

Each tool targets a distinct concern: execute retrieves data via a contract, search_data queries metadata, and verify checks integrity receipts. No overlap or ambiguity between them.

Naming Consistency4/5

All tool names are lowercase snake_case with a verb-first style (execute, search_data, verify). While not strictly verb_noun, the naming is predictable and consistent, though a less uniform pattern than the calibration example.

Tool Count5/5

Three tools is a well-scoped set for a public data catalog: search, retrieve, and verify. Each tool serves a necessary role with no bloat or missing core functionality.

Completeness5/5

The domain covers discovering, accessing, and validating public data. search_data finds datasets, execute retrieves them, and verify ensures integrity—covering the full workflow without obvious gaps.