Skip to main content
Glama
github-community-gitam

MCP Tools Lab

inspect_url

Parse an absolute URL to examine its components while preserving repeated or blank query values.

Instructions

Inspect an absolute URL with a hostname; preserve repeated/blank query values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It does disclose one genuine trait — repeated and blank query values are preserved rather than normalized — but says nothing about error handling for malformed URLs, whether the operation is read-only, or what the returned inspection contains.

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?

A single compact sentence with the key input constraint front-loaded and no filler. It is efficient, though the terseness borders on under-specification rather than deliberate concision.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter utility with no output schema and no annotations, an agent still lacks the return shape, error behavior, and read/write character. The one behavioral note about query values does not fill those gaps.

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 0% and the schema gives only a bare string type, so the description must compensate. It adds a real constraint ('absolute URL with a hostname') beyond the schema, but does not clarify format expectations such as scheme requirements, encoding, or whether invalid input is rejected.

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

Purpose3/5

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

The verb+resource pair ('Inspect ... URL') is present and the resource distinguishes it from siblings like inspect_csv and analyze_text. However, 'inspect' is ambiguous about what the tool actually does — parse, validate, normalize, or decompose — and the description never says what the output represents.

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

Usage Guidelines2/5

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

No statement of when to use this tool, when not to, or which sibling handles related tasks. The only guidance is an implicit input constraint ('absolute URL with a hostname'), which is a precondition rather than a usage rule.

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