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fmagenticl_resolve

Deterministic sub-100ms lookup of a signed patch or verified workaround for an agent execution error. Accepts raw error traceback / exception strings (raw_error), package/tool names (target), or pre-computed SHA-256 fingerprints (fingerprint). Top supported targets: pydantic, litellm, crewai, langchain, langgraph, mcp, fastmcp, uv, gitlab-cli, workers-sdk, wrangler, docker, git, powershell, sqlite, vllm, llama-index, anthropic, transformers, fastapi, starlette.

Input Schema

NameRequiredDescriptionDefault
targetNoTarget package or tool name (e.g. pydantic, litellm, crewai, langchain, mcp, uv, httpx, wrangler).
failureNoOptional structured failure details (error_code, exit_code, raw_signature).
raw_errorNoRaw stderr, exception traceback, or error message (e.g. 'ZoneInfo validation error', 'ImportError: cannot import name ...').
environmentNoOptional environment attributes (os, runtime, package, version).
fingerprintNoOptional 64-char hex SHA-256 fingerprint for direct cache lookup.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / environment / description
      Previous value: -"Optional environment attributes (os, runtime, package)."New value: +"Optional environment attributes (os, runtime, package, version)."
    • changedInput schema / properties / fingerprint / description
      Previous value: -"Optional 64-char hex SHA-256 fingerprint."New value: +"Optional 64-char hex SHA-256 fingerprint for direct cache lookup."
    • changedInput schema / properties / raw_error / description
      Previous value: -"Optional raw stderr / exception string."New value: +"Raw stderr, exception traceback, or error message (e.g. 'ZoneInfo validation error', 'ImportError: cannot import name ...')."
    • changedInput schema / properties / target / description
      Previous value: -"Optional target tool name (e.g. wrangler, powershell, tailwind)."New value: +"Target package or tool name (e.g. pydantic, litellm, crewai, langchain, mcp, uv, httpx, wrangler)."
  2. First observed

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 burden, and it does volunteer useful traits: determinism, sub-100ms latency, and that returned patches are signed and workarounds verified. It says nothing about side effects, whether a lookup is recorded in telemetry, what a miss returns, or any auth/rate-limit constraints.

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?

The purpose and latency guarantee are front-loaded in the first sentence, and the accepted-input sentence follows logically. The long target list is a useful scope cue but is a bulky run-on that could have been trimmed to the highest-value entries.

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?

No output schema and no annotations mean the description should explain the return shape (what a patch record or workaround contains) and the no-match behavior; it explains neither. For a 5-parameter tool with nested objects and a cache/fingerprint path, an agent still cannot predict what comes back or how to interpret a miss.

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?

Schema coverage is 100%, so baseline is 3; the description earns a bump by framing raw_error, target, and fingerprint as alternative lookup paths ('or'), which the schema does not state. It still does not say that at least one is required, despite zero required parameters.

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?

States a specific action (deterministic sub-100ms lookup) and resource (signed patch or verified workaround for an execution error). It is a clear verb+resource definition, but it never names or distinguishes itself from the close sibling fmagenticl_get_workarounds, so an agent must infer the boundary.

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 three accepted input modes (raw_error, target, fingerprint) imply when the tool applies, and 'agent execution error' scopes the domain. However, there is no explicit routing guidance against fmagenticl_auto_heal or fmagenticl_get_workarounds, and no statement of which input mode to prefer when several are available.

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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