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sklivvz

TinyURL MCP

by sklivvz

tinyurl_bulk_status

Read the status of a TinyURL bulk request by providing its positive integer bulkRequestId. Use it to check processing progress and completion of bounded bulk short-link operations.

Instructions

Read one bulk request status through GET /bulk/{bulkRequestId}/status. Requires a positive integer bulkRequestId. Token permission: Bulk Requests.

Input Schema

NameRequiredDescriptionDefault
bulkRequestIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden; it does add real value by disclosing the HTTP method (GET, i.e. read-only) and the required token permission ('Bulk Requests'). It says nothing about error behavior for unknown IDs, whether status transitions are terminal, or any rate limits, which matters for a polling tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the action and resource, with the parameter constraint and permission requirement following. Nothing is padded, though the endpoint path restates what the name already implies.

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 single-parameter read with no output schema and no annotations, the description covers the mechanics (endpoint, ID, token scope) but leaves the return shape unspecified — an agent cannot know what status values to expect or how to interpret them. Adequate but with a clear gap.

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

Parameters4/5

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

Schema coverage is 0% and the schema itself has no field description, so the description must compensate; it does by explaining that bulkRequestId is a positive integer identifying one bulk request, going slightly beyond the raw type/minimum constraint. It still does not say where the ID comes from (e.g., the tinyurl_bulk_create response).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Read one bulk request status') plus the underlying endpoint, which clearly separates it from tinyurl_bulk_create and tinyurl_bulk_report by name alone. It stops short of explicitly contrasting itself with those siblings, so it is clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the polling/status-check call for a bulk job, but the description never says when to use it versus tinyurl_bulk_report or tinyurl_status, nor mentions polling or terminal-state behavior.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.