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timps_tech_writer_assistant

Generate and refresh technical documentation for a codebase, including READMEs, ADRs, getting started guides, FAQs, and reference pages.

Instructions

Refresh a project README, write ADRs, generate a 'Getting Started' guide, an FAQ, and a reference page from the codebase.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for disclosing behavioral traits. Although it says 'Refresh' and 'write', which suggest file modification, it does not state whether existing files get overwritten, where outputs are written, whether it only generates text in memory, or that it requires any authentication/scope. This leaves significant behavioral uncertainty for a doc-generation and possible file-mutation tool.

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, compact sentence that enumerates all major deliverables without editorializing or redundancy. Every word carries meaning ('refresh', 'write', 'generate', 'from the codebase') and the structure is front-loaded with the primary action.

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?

Given the tool's broad scope and lack of output schema, the description lists the expected outputs but misses some context an agent would need: no mention of where outputs land, whether the action is irreversible, what aspects of the codebase are explored, or how the 'request' parameter shapes content. It is adequate as an overview, but incomplete for fully autonomous invocation.

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%, and both parameters ('request' and 'language') have descriptive text, so the schema already provides the core meanings. The tool description does not add any extra parameter semantics, such as example requests, the effect of language, or relation between request and the list of outputs, but because the schema is complete, a baseline score of 3 is appropriate.

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 clearly states the tool's function with specific actions and outputs: refresh a README, write ADRs, generate a Getting Started guide, FAQ, and reference page from the codebase. It is much more specific than a tautology, but it does not explicitly distinguish itself from closely related sibling tools like timps_adr_writer or timps_changelog_generator, which could cause selection ambiguity.

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 description implies this is a broad technical-writing assistant for producing multiple documentation artifacts from a codebase. However, there is no explicit guidance on when to use this tool versus a more targeted sibling like timps_adr_writer or timps_docstring_generator, and it does not mention any exclusions or alternative workflows.

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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