Skip to main content
Glama

ecosystem_task_claim

Claim a task by setting status to doing, committing, and pushing. Race-free via git push rejection, traceable with task ID.

Instructions

Reclama una tarea: agrega [agent::] + [status:: doing] + commit + push. Race-free con git push rejection (si otro agente reclamó primero, falla). Trazable con T-ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
agent_idYes
tasks_fileNo
Behavior5/5

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

With no annotations provided, the description carries the full burden and excels: it discloses that the tool performs a commit and push, is race-free via git push rejection, and fails if another agent claimed first. This is rich behavioral detail beyond a simple 'claim' statement.

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 two concise sentences that front-load the purpose and provide key behavioral details without redundancy. Every clause adds value.

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?

For a 3-parameter tool with no output schema and no annotations, the description gives good behavioral context but omits parameter explanations and preconditions. It is adequate but leaves gaps in understanding how to use the parameters correctly.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only vaguely mentions 'T-ID' for task_id and does not clarify agent_id or tasks_file semantics, formats, or defaults. This fails to add meaningful meaning beyond the bare schema names.

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 explicitly states 'Reclama una tarea' (claim a task) and details the exact actions: adds [agent::], sets [status:: doing], commits, and pushes. It also mentions the race-free behavior, clearly distinguishing it from sibling tools like ecosystem_task_add or ecosystem_task_done.

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?

The description provides clear context for when to use the tool (claiming a task) and describes the failure condition under race (if another agent claimed first). However, it does not explicitly name alternative tools or state exclusions, though the sibling tools make the distinction implicit.

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/deibanez/agentic-ecos'

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