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Glama

fetch_url

Fetch any public URL and return a clean, readable markdown or JSON extract for AI agents. Pass the target as url (http/https). Costs 0.01 USDC on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the 0.01 USDC cost on Base, a key behavioral trait, and notes it works on public URLs, implying no auth needed. It does not detail error handling or limits, but the essential behaviors are covered.

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?

The description is two sentences, front-loaded with purpose and output, followed by the parameter guidance and cost. Every word earns its place—no redundancy or fluff.

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?

For a one-parameter fetch tool, the description covers purpose, parameter format, cost, and output type. It does not mention limitations like content size or redirect behavior, but the tool's simplicity and the absence of an output schema make this adequately complete.

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?

The schema provides no parameter description, so the description compensates by explicitly saying 'Pass the target as url (http/https)', which gives the format and valid scheme for the url parameter. It adds meaning beyond the raw schema, though it does not elaborate on encoding or validation.

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 the tool fetches any public URL and returns a clean, readable markdown or JSON extract. The verb 'Fetch' plus the resource 'URL' is specific, and it distinguishes itself from the sibling crypto/YouTube tools by its general web-fetching purpose.

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 provides clear context: the tool fetches any public URL and the url parameter must be an http/https target. It does not explicitly mention when not to use it or name alternatives, but the sibling tools are unrelated domains, so the use case is well implied.

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

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource: fetch_url for arbitrary URLs, token_price for crypto prices, wallet_balance for wallet holdings, and youtube_audio/youtube_video for YouTube content. The two YouTube tools are clearly differentiated by output type (audio vs video).

Naming Consistency4/5

All tool names use lowercase snake_case and are concise, but there is a slight inconsistency: fetch_url is verb-noun while the others (token_price, wallet_balance, youtube_audio, youtube_video) are noun phrases. The style is still predictable and readable.

Tool Count5/5

With 5 tools, the server is well-scoped for a web extraction purpose. It covers general URL fetching plus specialized extractors for crypto and YouTube without redundancy or unnecessary bloat.

Completeness4/5

The domain of web extraction is well covered by fetch_url for general content, with specialized tools for common use cases like token prices and YouTube. A minor gap is the lack of specific extractors for other document types (e.g., PDFs), but fetch_url's markdown/JSON output mitigates this.