Skip to main content
Glama

forge_mcp_tools

Read-only

From an OpenAPI, forge an MCP server design, per-operation tools, Agent Skills, an enriched OpenAPI, a server.json, and apis.json properties.

Input Schema

NameRequiredDescriptionDefault
contextNoOptional: why you are asking. One sentence — the task you are trying to complete, or what you expect to get back. Never included in the answer and never used to rank; it is read only when a result turns out to be wrong, which is when knowing the intent is what makes the report actionable.
documentYesThe API description to operate on — OpenAPI, AsyncAPI, Arazzo or JSON Schema. A YAML/JSON string or an already-parsed object; both are accepted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Optional: why you are asking. One sentence — the task you are trying to complete, or what you expect to get back. Never included in the answer and never used to rank; it is read only when a result turns out to be wrong, which is when knowing the intent is what makes the report actionable.",
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / document
      Added value: +{
      +  "description": "The API description to operate on — OpenAPI, AsyncAPI, Arazzo or JSON Schema. A YAML/JSON string or an already-parsed object; both are accepted.",
      +  "type": [
      +    "string",
      +    "object"
      +  ]
      +}
  3. Added

TDQS

B3.2/5.0
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 by structured data. The description adds the artifact inventory (what gets produced), which is genuinely useful behavioral context, but says nothing about determinism, whether outputs are returned inline or persisted, or size limits on the input document.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the verb and source first, then the outputs. The six-item artifact list is dense but each item earns its place by telling the agent what the call yields; no filler or restatement of the name.

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 generation tool with no output schema, the description lists the produced artifacts but never explains the return shape (single bundled payload vs. separate files), whether the result is written somewhere, or any constraints on document size. The annotations carry the safety profile, so the gap is moderate rather than severe.

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 are documented in the schema, including the accepted formats (OpenAPI/AsyncAPI/Arazzo/JSON Schema, string or parsed object). The description's phrase 'From an OpenAPI' only partially matches the actual accepted document types, adding no semantics beyond the schema — baseline 3 applies.

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 gives a specific verb ('forge') plus an enumerated set of concrete artifacts (MCP server design, per-operation tools, Agent Skills, enriched OpenAPI, server.json, apis.json properties), so an agent knows exactly what this produces. It does not, however, distinguish itself from near-neighbors like generate_agent_descriptor or export_agent_rules, which also emit agent-facing artifacts.

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?

There is no guidance on when to invoke this versus the sibling generators (generate_agent_descriptor, export_agent_rules, map_api_experience), nor any prerequisite such as a valid OpenAPI version or required upstream validation. The agent is left to infer usage from the artifact list alone.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources