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get_project

Retrieves a Gitea repository project board by its ID. Currently always reports not-found as Gitea has no projects REST API yet.

Instructions

Fetch one repository project board (kanban) by id. PLACEHOLDER: always reports not-found (HTTP 404 semantics) because Gitea does not yet ship a REST API for project boards (go-gitea/gitea#36824). No HTTP request is made. The contract is stable so workflows can attempt to look up a project without breaking; the real endpoint will be wired transparently once the upstream API lands.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProject ID (placeholder — always reports not-found because Gitea has no projects REST API yet)
repoNoRepository name (defaults to GITEA_DEFAULT_REPO). Placeholder tool: always reports not-found — Gitea has no projects REST API yet (go-gitea/gitea#36824).
ownerNoRepository owner (defaults to GITEA_DEFAULT_OWNER). Placeholder tool: always reports not-found — Gitea has no projects REST API yet (go-gitea/gitea#36824).
Behavior5/5

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

With no annotations provided, the description fully discloses the tool's behavior: it always reports not-found (404 semantics), makes no HTTP request, and has a stable contract. It also explains the reason (missing upstream API) and the future plan, leaving no ambiguity about what happens when invoked.

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 concise and front-loaded with the core action, followed by essential behavioral caveats. Each sentence contributes necessary information (purpose, placeholder semantics, no HTTP request, stability rationale), with no wasted words.

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

Completeness4/5

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

Given the tool's simplicity and placeholder nature, the description covers the essential context: what it does, why it reports not-found, and that it is safe to call. It lacks an explicit mention of the response format beyond 'HTTP 404 semantics', but that is sufficient for a tool that always returns not-found. It is complete for current use.

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%, so the baseline is 3. The description mentions the `id` parameter but does not add meaning beyond the schema descriptions, which already explain the placeholder behavior for each parameter. No additional semantic value is provided.

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 states a specific verb ('Fetch') and resource ('one repository project board (kanban) by id'), clearly distinguishing it from list_projects. However, it does not explicitly contrast with any sibling tool beyond the inherent get-by-id vs list distinction.

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

Usage Guidelines4/5

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

It provides clear context about when to use this tool: it is a stable placeholder that always reports not-found, so workflows can attempt a lookup without breaking. It does not explicitly mention alternatives, but the placeholder nature and stability rationale serve as usable guidance.

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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