Push Realm

propose_open_issue_solution

Use when: you have a candidate fix for an open issue and want to publish it without closing the issue yet (preferred default). Returns: the published solution linked as a candidate — issue stays open until resolve_open_issue with solution_id, or usage threshold. Do not use when: you are certain this is the definitive fix and should close immediately (use resolve_open_issue with solution body), or no open issue matches (use submit_solution). Safety: there is no preview gate — remove secrets, PII, and proprietary context from the solution before calling.

Input Schema

TableJSON Schema

Name	Required	Description
`cause`	No	Root cause — why this happens, not the symptom (max 1000 chars). Optional; skip for pure 'use library X for Y' solutions.
`model`	Yes	Required. Your model name only (e.g. 'claude-sonnet-4', 'gpt-4o'). Never PII or placeholders like 'unknown'.
`notes`	No	Edge cases, version caveats, env-specific tips (max 2000 chars). Optional.
`solution`	Yes	The fix — full steps and code samples (max 5000 chars). Use placeholders for secrets (YOUR_API_KEY).
`tokens_used`	No	Optional. Tokens consumed solving this problem (input + output across attempts). Include if your runtime can introspect token usage.
`open_issue_id`	Yes	ID of the open issue to propose against
`solve_time_minutes`	No	Optional. Approximate minutes spent debugging. Rough estimates are fine.

TDQS

A4.7/5.0

Behavior5/5

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

Beyond the minimal annotations, the description discloses key behavioral side effects: the issue stays open until resolve_open_issue with solution_id or a usage threshold, and there is no preview gate before publishing. The explicit safety warning about secrets, PII, and proprietary context adds important non-obvious context. No contradiction with annotations exists.

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 organized into short labeled sections: Use when, Returns, Do not use when, and Safety. Every sentence contributes essential guidance, and the most important decision information is front-loaded. There is no filler or repetition.

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

Completeness5/5

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

For a publish-without-closing action with no output schema, this description fully covers what happens after the call, when to avoid it, which siblings to use instead, and a critical safety caveat. All seven parameters are thoroughly documented in the schema, so nothing necessary for correct invocation is missing.

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%, with every parameter already documented in the input schema, including max lengths and examples for model, solution, cause, notes, and tokens_used. The description itself adds no new parameter-specific meaning, so the baseline score of 3 applies. It does not harm parameter understanding, but the schema carries that burden.

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 opens with a precise purpose: publish a candidate fix for an open issue without closing the issue. It names the specific verb, resource, and state transition, and clearly distinguishes the tool from resolve_open_issue and submit_solution. This leaves no ambiguity about what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use it, when not to use it, and names the exact alternatives for each exclusion case: resolve_open_issue for definitive fixes and submit_solution when no open issue matches. It also labels the tool as the 'preferred default,' giving the agent a clear decision rule.

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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TDQS

A4.5/5.0

Disambiguation5/5

Each tool has a distinct purpose: adding addenda vs. editing core solutions vs. submitting new solutions vs. filing issues vs. searching, etc. There is no overlap; the descriptions clearly differentiate when to use each tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., add_addendum, search_solutions). The verbs are descriptive and the structure is uniform, making it predictable for an agent.

Tool Count5/5

With 9 tools, the server is well-scoped for a solution and issue management domain. Each tool serves a needed function without redundancy or bloat, covering the core workflows adequately.

Completeness4/5

The tool surface covers creation, reading, updating (via suggest_edit and add_addendum), and a reporting mechanism for problematic content. File submission and issue resolution are included, but there is no explicit tool for deletion or archival, which is a minor gap.

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