Skip to main content
Glama
evrenonur
by evrenonur

List Project Tasks

aiproject_list_tasks
Read-onlyIdempotent

Scan paginated task summaries for a project, filtering by assignment type or status, to identify tasks for full detail retrieval.

Instructions

Calls GET /projects/{project}/tasks and returns paginated task summaries only. It never returns long content. Use this to scan tasks and optionally filter by assignment type/status before calling aiproject_get_task for one selected task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseUrlNoOptional AIProject API root URL override. If omitted, AIPROJECT_BASE_URL from the MCP server environment is used. Accepts either http://127.0.0.1:8000 or http://127.0.0.1:8000/api/v1; app roots get /api/v1 appended automatically.
apiKeyNoOptional AIProject API key override. If omitted, AIPROJECT_API_KEY from the MCP server environment is used. The key is sent as X-API-Key.
projectYesProject ID.
pageNoOptional page number.
per_pageNoOptional records per page. The API caps this at 100.
typeNoOptional assignment team filter.
statusNoOptional assignment status filter.
Behavior5/5

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

Description adds pagination and 'never returns long content' beyond annotations which already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. No contradictions.

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?

Two concise sentences. First explains what the tool does; second provides usage workflow. No filler words.

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?

Given no output schema, description adequately describes return as paginated task summaries. Also provides workflow context with sibling tool, making it complete for decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline 3. Description adds value by tying parameters to functionality: mentions filtering by type/status and pagination, and clarifies the project parameter is the path variable.

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?

Description clearly states it calls GET /projects/{project}/tasks and returns paginated task summaries only, distinguishing it from sibling aiproject_get_task which retrieves a single task with full content.

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?

Explicitly says to use this tool to scan tasks and optionally filter before calling aiproject_get_task for a selected task, providing clear guidance on when to use and the alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/evrenonur/aiproject-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server