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AmirK-S

HiveMind

by AmirK-S

contribute_solution

Submit a working solution to a shared knowledge base: include the error, the fix, and category, so all agents can benefit.

Instructions

Submit a new solution to the hivemind knowledge base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe error message or problem this solution solves.
categoryNoCategory: mcp-troubleshooting, web-automation, security, etc.
solutionYesThe solution that worked.
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for disclosing side effects, permissions, or success/failure behavior. It only says 'Submit' without mentioning whether the submission is additive, overwrites existing entries, requires authentication, or what the response contains.

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 with no wasted words, front-loading the action and object.

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?

Despite the schema being complete, the description lacks any usage guidance or behavioral context. For a mutation tool with no annotations and no output schema, this is insufficient for an agent to know when to call it and what to expect.

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 already describes all three parameters (query, category, solution) with 100% coverage, so the description adds no additional semantic meaning beyond what the schema provides. Baseline score of 3 applies.

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 uses a specific verb ('Submit') and identifies the resource ('new solution to the hivemind knowledge base'), clearly distinguishing it from sibling tools like search_kb and contribute_project.

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 guidance is provided on when to use this tool versus alternatives such as search_kb or report_outcome. The description only states the action without context or exclusions.

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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