url-to-markdown

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing about side effects, return values, or operational 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 extremely short, but this is under-specification rather than conciseness. It fails to earn its place by conveying any useful information.

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 tool with two undocumented parameters, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine what to pass, what to expect, or when to use it.

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%, and the description adds no meaning to the 'url' and 'maxTimeout' parameters. The agent is left without any hint of what these parameters do or how to format them.

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 'V1 Extract' is a tautology that restates the tool name without any verb, resource, or action. It does not distinguish this tool from its siblings 'markdown' and 'news_article'.

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?

There is no guidance on when to use this tool versus alternatives. The description provides no context, conditions, or exclusions.

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 disclosing behavior, but it reveals nothing about whether the tool reads, writes, transforms, or returns content. It also fails to mention any side effects, permissions, or output expectations.

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 extremely short, but this is under-specification, not conciseness. The single label 'V1 Markdown' adds no meaningful information and fails to earn its place as the description.

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 tool with three parameters, no annotations, and no output schema, the description is wholly inadequate. It omits purpose, usage, parameter semantics, and any behavioral details, leaving almost all context to be guessed.

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% and the description does not compensate. The three parameters (url, maxTimeout, include_links) remain unexplained—an agent cannot infer their types, constraints, or how they affect tool behavior from the phrase 'V1 Markdown'.

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 'V1 Markdown' is a version label, not a statement of purpose. It does not mention any verb or resource, and it fails to distinguish the tool from siblings 'extract' and 'news_article', leaving the agent to guess what the tool actually does.

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, nor does it reference alternatives or conditions for choosing between 'markdown', 'extract', or 'news_article'. An agent has no basis to select this tool over its siblings.

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?

No annotations are providedwing, and the description contains no behavioral information at all. It does not disclose side effects, return behavior, failure modes, or any operational traits, so the agent has no basis for predicting what invoking this tool does.

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 text is short but this is under-specification rather than conciseness. 'V1 News Article' carries no useful information, so it fails the requirement that every sentence earn its place.

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?

Despite having only two parameters and no output schema, the definition is still incomplete because it omits the core operation, parameter semantics, and usage context. An agent has no way to correctly select or call this tool.

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%, and the description adds no meaning to the parameters url and maxTimeout. The schema only provides names and types, so the agent cannot infer what values are valid, what url should point to, or how maxTimeout behaves.

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 'V1 News Article' merely restates the tool name and adds no verb or resource. It does not say what action the tool performs, so an agent cannot know whether it fetches, parses, or searches a news article. It also fails to distinguish the tool from the siblings extract and markdown.

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?

There is no guidance about when to use news_article versus extract or markdown. The description gives no context, prerequisites, or selection criteria, leaving the agent entirely without direction.

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