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chntif
by chntif

gitlab_upload_project_file

Upload a binary file to a GitLab project's markdown uploads and retrieve its markdown or URL metadata for use in issues or documentation.

Instructions

Upload binary file to project markdown uploads and return markdown/url metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoGitLab project ID. Omit this field unless the user explicitly provided a value. When omitted, the tool tries the current runtime config defaults from WORKFLOW_ISSUE_PROJECT_ID or WORKFLOW_CODE_PROJECT_ID. If both are unset, or both are set to different values, the tool returns a missing-parameter error and you must pass project_id explicitly. Do not infer or auto-generate this value.
filenameNoOriginal file name.
content_base64NoFile content encoded in base64.
content_typeNoOptional MIME type, e.g. image/png.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded.
toolYesTool name.
dataNoProject markdown upload payload.
error_typeNoError type when ok=false.
messageNoError message when ok=false.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose side effects (e.g., file modification, permissions needed, rate limits, or error conditions). The return metadata is implied but not detailed; output schema partially covers return format but behavioral aspects are missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that communicates the core purpose. It is efficient with no redundant words, though additional structure (e.g., bullet points for output) could be beneficial.

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?

For a tool with 4 parameters and an output schema, the description lacks context about when to use it, behavioral expectations, and error handling. It is minimal and leaves gaps for the agent to infer.

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 detailed descriptions for each parameter (especially project_id). The description does not add extra semantics beyond the schema; baseline 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 clearly states the action (upload binary file), target (project markdown uploads), and what is returned (markdown/url metadata). It distinguishes from siblings like gitlab_get_file or gitlab_commit_files which handle different operations.

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 on when to use this tool versus alternatives. It does not mention prerequisites, when not to use it, or suggest other tools for different purposes. The description only states functionality without context.

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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