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Glama

HTTP Probe

http-probe

Probe a URL and return status code, headers, response time, and redirect info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to probe
methodNoHTTP method (HEAD is faster, GET gets body info)HEAD
timeoutNoTimeout in milliseconds
followRedirectsNoFollow redirects (false=show redirect target)

Schema Changelog

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

  1. Added

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states the return payload but does not mention that it performs a network request, that the default followRedirects=false shows redirect targets rather than following them, or any potential side effects/timeouts. The schema covers some of this, but the description alone is thin.

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?

A single sentence that is direct and informative, listing the key outputs without extraneous wording. It earns its place and is immediately scannable.

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?

Given the simple tool and full schema coverage, the description covers the essential return values. It lacks explicit error behavior or examples, but the output list is sufficient for an agent to know what to expect. No output schema exists, so the description's list is valuable.

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%, with each parameter already well-described (url format, method enum, timeout bounds, followRedirects semantics). The tool description adds no additional parameter context, so it stays at the baseline of 3.

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 ('Probe') with a clear resource ('a URL') and enumerates the exact return data (status code, headers, response time, redirect info). This fully distinguishes it from any sibling tool, none of which probe URLs.

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?

The purpose is clear, and there are no sibling tools that serve the same function, so the intended use case is evident. However, there is no explicit guidance on when to choose this tool over alternatives (which are not needed) or any conditions like using GET for body info, though that hint exists in the schema.

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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TDQS

B3.1/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, such as bg-remover, bg-remover-pro, pro-matting, and takumi all performing background removal, and upscaler/upscaler-pro being redundant. With 202 tools, an agent may easily select the wrong one despite detailed descriptions.

Naming Consistency4/5

Most tools use a consistent kebab-case format with descriptive names like pdf-compress, image-resizer, and tax-return-calc. Exceptions like 'takumi', 'pro-matting', and '-pro' suffixes (bg-remover-pro, upscaler-pro) are minor deviations relative to the total.

Tool Count1/5

202 tools is an extreme mismatch for an MCP server, far exceeding the typical 3-15 well-scoped range. The sheer volume makes it unwieldy for an agent to efficiently navigate and select the right tool.

Completeness4/5

The tool set provides extensive coverage across many domains, including PDF operations (20+ tools), image editing, financial calculations, e-commerce fee estimation, and YouTube utilities. Minor gaps exist in cross-tool integration, but the breadth is highly comprehensive for the apparent purpose.

Resources