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

With no annotations provided, the description carries the full burden. It discloses key behaviors: fetching from remote or local sources, case-insensitive keyword filtering, and returning a formatted string. However, it lacks details on error handling, rate limits, authentication needs, or what happens if the file is missing, leaving gaps for a tool with mutation-like operations (file reading).

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

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

The description is appropriately sized and front-loaded: the first sentence states the core purpose, followed by bullet-like sections for parameters and returns. Every sentence adds value without redundancy, making it efficient and well-structured.

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

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

Given no annotations, 0% schema coverage, and no output schema, the description does well by explaining parameters and return format. However, for a tool that reads files and fetches remote data, it lacks details on error cases (e.g., invalid file paths) and behavioral constraints, leaving some contextual gaps.

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

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

Schema description coverage is 0%, so the description must compensate fully. It adds significant meaning beyond the schema: explains that 'keyword' filters by description/category case-insensitively, and 'opml_file' specifies a local path with a default remote fetch. This provides essential context not in the schema, fully compensating for the coverage gap.

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

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

The description clearly states the action ('Retrieve a list'), resource ('available cryptocurrency RSS feeds'), and source ('from a local or remote OPML file'). It distinguishes from the sibling tool 'get_rss_feed' by specifying cryptocurrency feeds and OPML file parsing, providing specific verb+resource differentiation.

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

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

The description provides clear context for usage: retrieving feeds from OPML files with optional filtering. However, it does not explicitly state when to use this tool versus the sibling 'get_rss_feed' or specify any exclusions or prerequisites, missing explicit alternative guidance.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal that the tool returns up to 10 latest entries with specific formatting (Markdown, HTML-to-plain-text conversion), which is valuable behavioral information. However, it doesn't mention error handling, rate limits, authentication requirements, or network timeout behavior.

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

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

The description is perfectly structured and concise. It begins with a clear purpose statement, then provides organized sections for Parameters and Returns with specific, useful details. Every sentence earns its place with no wasted words.

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

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

For a single-parameter tool with no annotations and no output schema, the description provides substantial context about what the tool does and what it returns. The detailed return format description compensates well for the lack of output schema. The main gap is the lack of sibling tool differentiation.

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

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

The description provides excellent parameter semantics beyond the bare schema. While the schema only shows 'feed_url' as a string parameter, the description explains it's 'The URL of the RSS feed to fetch' and provides a concrete example ('https://cointelegraph.com/rss'). This adds significant value given the 0% schema description coverage.

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

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

The description clearly states the verb ('Retrieve') and resource ('content of the specified RSS feed'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from its sibling tool 'get_crypto_rss_list', which appears to be a list operation rather than a content retrieval operation.

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

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

The description provides no guidance on when to use this tool versus alternatives. There's no mention of the sibling tool 'get_crypto_rss_list' or any other context about when this specific feed retrieval is appropriate versus other RSS-related operations.

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