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zalez

perplexity-agent-mcp

by zalez

Collect Perplexity Research

perplexity_agent_result
Read-only

Retrieve the outcome of a Perplexity research run via its response ID. Supports waiting for completion or returns current status and next steps.

Instructions

Retrieve the result of a research run started by perplexity_agent. If it is still running, reports what it has done so far and how to check again.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_idYesThe response_id from perplexity_agent.
wait_secondsNoBlock up to this many seconds waiting for completion. 0 checks once. A larger value is silently CLAMPED to this server's configured wait budget (55s here; set PERPLEXITY_AGENT_WAIT_SECONDS to raise it), never rejected.
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description adds value by mentioning that if the run is still running, it reports progress and how to check again. This is useful context not covered by the annotation alone.

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 sentences, front-loaded with the primary action 'Retrieve', and contains no redundant or irrelevant information. Every sentence earns its place.

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?

For a simple retrieval tool with two parameters and no output schema, the description covers the main use case and the pending-state behavior. It doesn't specify the return format, but that is not essential given the tool's simplicity and the lack of an output schema.

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 both response_id and wait_seconds having detailed descriptions including clamping behavior. The description adds no extra parameter semantics beyond what the schema already provides.

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 tool retrieves the result of a research run started by perplexity_agent, which is a specific verb+resource. It distinguishes from the sibling cancel tool and the initiating tool by focusing on result retrieval.

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 implies usage after perplexity_agent has started a run and explains the behavior if the run is still running. However, it doesn't explicitly mention when not to use it or directly name alternatives beyond the sibling tool list.

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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