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jlbjulio

tavily-research

by jlbjulio

Get Tavily Research Status

tavily_research_status
Read-onlyIdempotent

Retrieve the status or completed report of an existing Tavily Research task using its request ID. If the task is in progress, wait before checking again to avoid duplicate research.

Instructions

Retrieve the status or completed report of an existing Tavily Research task. If the status is in_progress, wait before calling this tool again. Never start a duplicate task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestIdYesThe request ID returned by tavily_research.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior, so the bar is lower. The description adds useful behavioral context by exposing the in_progress state and advising against duplicate task creation, which goes beyond the structured hints.

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 with no filler. The core purpose is front-loaded, and the actionable polling guidance is delivered efficiently without redundancy.

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?

The tool has no output schema, but the description communicates the response concept ('status or completed report') and the relevant in_progress condition. It is sufficient for a single-parameter polling tool, though it could optionally mention available status values.

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%, so the schema fully documents requestId as 'The request ID returned by tavily_research.' The description does not add parameter-specific meaning beyond referencing an existing task, which is acceptable but not additive.

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 uses a specific verb ('Retrieve') and a specific resource ('status or completed report of an existing Tavily Research task'), clearly differentiating it from siblings that search or start research. It also identifies the prerequisite that the task must already exist.

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?

The description gives explicit behavioral guidance: if status is in_progress, wait; and never start a duplicate task. This tells the agent when to poll this tool versus invoking tavily_research again, which is exactly the key decision point.

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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