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yutori-ai

Yutori MCP

Official
by yutori-ai
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

get_browsing_task_result

Read-only

Poll a browsing task by ID to retrieve its status and final result, retrying until completion or failure.

Instructions

Poll for browsing task status and result. Call until status is 'succeeded' or 'failed'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Changed5 schema fields changedv0.3.1
    • removedInput schema / additionalProperties
      Removed value: -false
    • removedInput schema / description
      Removed value: -"Input for retrieving a browsing or research task result."
    • removedInput schema / properties / task_id / description
      Removed value: -"The task's unique identifier"
    • changedInput schema / title
      Previous value: -"TaskIdInput"New value: +"get_browsing_task_resultArguments"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "result": {
+      "title": "Result",
+      "type": "string"
+    }
+  },
+  "required": [
+    "result"
+  ],
+  "title": "get_browsing_task_resultOutput",
+  "type": "object"
+}
  2. Changed1 schema field changedv0.3.0
    • addedInput schema / additionalProperties
      Added value: +false
  3. First observedv0.2.9

TDQS

A4.1/5.0
Behavior4/5

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

Annotations indicate read-only operation, and the description adds the polling aspect. No contradictions; it discloses the need for repeated calls.

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 front-loaded action verb, no unnecessary words.

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?

Covers polling loop and terminal statuses; output schema exists so return values are not needed. Minor gaps in error handling or rate limits, but adequate.

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?

The only required parameter 'task_id' has no description in the schema or the tool description, leaving its meaning unelaborated despite self-explanatory name.

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 it polls for browsing task status and result, distinguishing it from sibling tools like run_browsing_task by specifying the polling behavior.

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 explicitly instructs to call until status is 'succeeded' or 'failed', providing a clear usage pattern. However, it does not mention polling interval or alternatives.

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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