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Glama

Summarize URL

url.summarize
Read-only

Fetch a public HTTPS URL and return a prose summary with key points. Lean mode — no bundle stored. Use when you need a condensed understanding of a web page. For raw text, use url.extract. For asking a specific question about a page, use url.qa. Returns: { url, summary, key_points: string[], truncated: boolean, word_count } Example prompts:

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic HTTPS URL to fetch and summarize. Example: "https://en.wikipedia.org/wiki/Artificial_intelligence"
max_tokensNoInput length cap (1 token ≈ 4 chars). Truncates fetched page content, not the output summary. Example: 4000

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
summaryNo
truncatedYes
key_pointsNo
word_countNo

TDQS

A4.7/5.0
Behavior5/5

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

Description adds key behavioral context beyond annotations: 'Lean mode — no bundle stored' indicates no persistence. The return object fields (summary, key_points, truncated, word_count) are listed. Annotations indicate read-only and open-world, which description does not contradict.

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?

Four concise sentences plus a return object and examples. Front-loaded with action and mode, followed by usage guidance and alternatives. No unnecessary text; every sentence earns its place.

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

Completeness5/5

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

Given the tool's simplicity (fetch+summarize), annotations (readOnly, openWorld), and output schema, the description covers all needed context: it specifies public HTTPS only, provides usage guidelines, lists return fields, and shows example prompts.

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 100% (both url and max_tokens described). Description does not add new parameter detail but provides example prompts that implicitly show url usage. No additional semantics for max_tokens beyond schema.

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 action ('Fetch a public HTTPS URL and return a prose summary with key points') and distinguishes itself from siblings (url.extract for raw text, url.qa for specific questions). The verb 'summarize' aligns with the resource 'URL' and title.

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

Usage Guidelines5/5

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

Explicitly states when to use ('Use when you need a condensed understanding of a web page') and provides specific alternative tools ('For raw text, use url.extract. For asking a specific question about a page, use url.qa'). Includes example prompts that guide correct invocation.

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

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, grouped by domain (account, bundle, collection, document, job, receipt, url). Descriptions and naming make it easy to differentiate between similar tools like url.extract vs document.extract_text or collection.search vs collection.ask.

Naming Consistency5/5

All tools follow the same prefix.group_action pattern in snake_case (e.g., account.quota, bundle.get, collection.create). No mixing of conventions, making the API predictable and easy to navigate.

Tool Count5/5

With 22 tools, the server covers a comprehensive set of operations for document and evidence management. Each tool serves a specific purpose, and the count feels well-scoped without being bloated or sparse.

Completeness3/5

The tool surface lacks explicit create and delete operations for bundles and collections. Bundles appear to be created externally, and there is no tool to remove a bundle or collection. This is a notable gap given the server's stated purpose.

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