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fixgraph_submit_fix

Submit a new fix to FixGraph by providing issue ID, title, root cause, and ordered steps. Helps record solutions for software errors, vehicles, and appliances.

Instructions

Submit a new fix to FixGraph. Requires FIXGRAPH_API_KEY env var.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsYesOrdered fix steps
titleYesShort title for the fix
issue_idYesIssue ID to attach the fix to
risk_levelNoRisk level of applying the fix
root_causeYesWhy the issue occurs
validationNoHow to verify the fix worked
Behavior2/5

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

With no annotations provided, the description carries full burden but only states 'Submit a new fix' and the env var requirement. It lacks disclosure of side effects, idempotency, error behavior, or any behavioral traits beyond the basic action.

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 plus a short prerequisite note, front-loaded with the action, and contains no unnecessary words. Every part is essential.

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?

Given 6 parameters, no output schema, and no annotations, the description is too sparse. It does not explain return values, error conditions, or the submission process, leaving the agent with significant gaps.

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 coverage is 100% with each parameter having a description. The description adds no additional parameter-specific meaning, so baseline 3 is appropriate.

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 'Submit a new fix to FixGraph' clearly states the action (submit) and resource (fix), and combined with sibling tool names (get_fixes, search), it effectively distinguishes this tool's creation purpose from retrieval or querying.

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?

The description mentions the prerequisite env var but does not provide explicit guidance on when to use this tool versus alternatives like fixgraph_get_fixes or fixgraph_search. No when-not or explicit context for selection is given.

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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