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@lstpsche/apidog-mcp

by lstpsche

apidog_update_schema

Import a full JSON Schema definition to update or create a component schema in Apidog.

Instructions

Create or update a component schema via targeted spec import.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesSchema name
moduleYesModule name
projectNoProject name. Required when multiple projects are configured, optional otherwise.
definitionYesFull JSON Schema definition object
Behavior2/5

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

No annotations are provided, leaving the description to carry the full burden. It discloses that the tool mutates state ('create or update'), but does not explain what happens when the schema already exists (overwrite vs merge), whether partial definitions are allowed, or any required permissions/order of operations. This is insufficient for a mutation tool.

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 of 11 words, front-loaded with the verb and resource. No filler or redundant information; every part contributes to the core purpose.

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

Completeness2/5

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

With no annotations or output schema, and a mutation operation involving a complex nested definition object, the description is too sparse to be complete. Missing key behavioral context (overwrite semantics, project requirements when multiple projects configured could be inferred from schema but not from description) limits the agent's ability to predict side effects.

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?

The input schema provides descriptions for all four parameters (100% coverage), so the baseline is 3. The description adds no additional parameter-specific meaning beyond the schema, but because schema coverage is high, the description does not need to compensate.

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?

The description clearly states a specific action ('Create or update') on a specific resource ('component schema') with a method ('targeted spec import'). It distinguishes from sibling read/delete/list tools (e.g., apidog_get_schema, apidog_delete_schema) by implying targeted update vs full import (apidog_import_openapi).

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?

The phrase 'targeted spec import' implies this is for individual schemas rather than full specification imports, but no explicit 'use this when' or 'alternatives' guidance is provided. The tool's purpose can be inferred from context, but usage boundaries are not clearly stated.

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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