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forge_add

Fetch any OpenAPI, llms.txt, or HTML docs URL and convert it into callable tools. Returns tool names.

Instructions

Fetch a docs URL (OpenAPI / llms.txt / HTML) and forge lean callable tools from it. Returns {tools: names}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceUrlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It tells the agent the tool fetches a remote docs URL, supports OpenAPI/llms.txt/HTML, creates tools, and returns names. However, it does not clarify whether this is a persistent mutation, whether authentication is required, or how failures are surfaced.

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 one compact sentence that front-loads the action and return value. There is no filler or redundant restatement of the tool name.

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

Completeness4/5

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

For a one-parameter tool with no output schema and no annotations, the description covers the input format, the core operation, and the return shape. It could additionally mention how the created tools relate to forge_call/forge_list or describe side effects, but the essential invocation contract is present.

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

Parameters4/5

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

The schema provides only a URI field with no description, so the description must add semantic value. It does by identifying sourceUrl as a docs URL in OpenAPI, llms.txt, or HTML format, which materially helps the agent choose a valid input. For a single-parameter tool, this is adequate.

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 a clear action and resource: fetch a docs URL and create callable tools from it, and it notes the return shape. It distinguishes itself as a creation/registration tool versus the sibling list/call tools, though it does not name the siblings explicitly.

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 explicit guidance on when to use this tool versus forge_list or forge_call, and no prerequisites or exclusions are given. The intended usage is only implied by the verb 'forge' and the tool name, leaving the agent to infer selection context.

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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