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alopez3006

snipara-mcp

by alopez3006

rlm_agent_status

Retrieve pending tasks and clear instructions for your swarm agent. Call this at session start to discover what work is waiting and what to do next.

Instructions

Get swarm agent status with pending tasks and clear instructions.

Call this at session start to discover tasks assigned to you. Returns:

  • Pending tasks assigned to your agent (use rlm_task_claim to start)

  • Active swarms you've joined

  • Current task you're working on (if any)

  • Clear instructions on what to do next

This is THE discovery tool for swarm agents - tells you what work is waiting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
swarm_idYesSwarm ID to check status for
agent_idYesYour agent identifier in the swarm
Behavior4/5

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

No annotations provided, but the description conveys a read-only operation by detailing outputs. It does not mention side effects, permissions, or rate limits, but the read-only nature is clear from context.

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?

Description is brief, uses bullet points for clarity, and front-loaded with purpose. Every sentence adds value without redundancy.

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, the description fully covers return values and usage context. It also links to the next step (rlm_task_claim), making it self-contained for its purpose.

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% with descriptions for both parameters. The description does not add extra meaning beyond the schema, aligning with the baseline score of 3.

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 verb 'Get' and resource 'swarm agent status', listing specific deliverables like pending tasks and instructions. It distinguishes itself from sibling tools by being the discovery tool for swarm agents.

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?

Explicitly says 'Call this at session start' and mentions using rlm_task_claim for pending tasks, providing clear context. However, it does not explicitly state when not to use it or mention alternative tools.

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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