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totonga

odsbox-jaquel-mcp

by totonga

query_generate_skeleton

Read-only

Generate a query skeleton for an ODS entity and operation, using the entity name and query type (get_all, get_by_id, get_by_name, search_and_select).

Instructions

Generate a query skeleton for a specific entity and operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationNoType of query: get_all, get_by_id, get_by_name, search_and_selectget_all
entity_nameYesODS entity name (e.g. 'AoTest', 'AoMeasurement', 'AoSubMatrix')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that the tool generates a skeleton rather than executing a query, but it does not explain what the skeleton contains or how it should be used afterward.

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 a single sentence with no filler, the verb is front-loaded, and every word contributes to identifying the core action and scope.

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?

For a two-parameter tool with an output schema and read-only annotations, the basic invocation is reasonably covered. However, in a family of many query_* siblings, the lack of any positioning information leaves uncertainty about preconditions and relationship to other tools.

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

Parameters3/5

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

Schema description coverage is 100%, and both parameters already have meaningful descriptions and examples. The description only adds the generic phrase 'specific entity and operation', which does not meaningfully extend the parameter information already available.

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

Purpose4/5

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

The description states the specific verb 'Generate', the object 'query skeleton', and the scope 'specific entity and operation'. This is clear and distinguishes it from execution or validation tools, though it does not explicitly name sibling tools for contrast.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus closely related siblings such as query_get_pattern, query_describe, query_validate, or query_execute. An agent is left to infer the tool's role from its name and the word 'skeleton'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.