Naturepedia Canonical Discovery

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It states the content areas that will be described but does not disclose the return format, whether the output is a summary or structured document, or any access constraints. The read-only nature is implied by 'Describe' but not explicitly stated.

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 a single sentence that is front-loaded with the action ('Describe Naturepedia') and then specifies three concrete subtopics. Every phrase earns its place and there is no redundancy or filler.

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 the tool's low complexity (no parameters, no annotations, no output schema), the description provides sufficient context by naming the three key areas of Naturepedia it covers. It does not explain the return format, but for a descriptive 'about' tool this is a minor gap rather than a critical omission.

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 tool has zero parameters and an empty input schema, so there is nothing to document. The baseline of 4 applies because no parameter semantics are needed; the description adds no parameter information, which is acceptable given the schema coverage is effectively 100%.

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 uses the specific verb 'Describe' with the resource 'Naturepedia' and enumerates the exact scope: canonical authority structure, machine-readable discovery, and x402 access layers. This clearly distinguishes it from sibling tools like search_naturepedia and resolve_naturepedia_resource by signaling it is a meta/informational endpoint.

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 implies usage when an agent needs an overview of Naturepedia or its access layers, but it does not explicitly state when to use this tool versus the sibling search or resolve tools. No exclusions or alternative guidance are provided, so the context is clear but not fully developed.

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?

Since no annotations are provided, the description must disclose behavioral traits. It effectively communicates that the tool resolves to the 'current canonical record', implying redirect or deduplication behavior, and that it returns 'payment metadata'—a specific and useful detail. While it does not mention error handling or prerequisites, the description provides meaningful context beyond a simple 'resolve' statement.

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 a single, well-structured sentence that front-loads the action and outcome. Every word adds value, with no fluff or repetition of schema information. It is concise yet comprehensive enough for a simple tool.

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 one parameter and no output schema, the description covers the core purpose, input semantics, and high-level return contents (canonical record and payment metadata). It is complete enough for an agent to select and invoke the tool correctly, though it could be slightly stronger if it explicitly mentioned what happens on unsuccessful resolution. Overall, it is above the minimum viable standard.

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 input schema only defines 'identifier' as a string with length constraints, but the description defines what types of identifiers are accepted: exact identifier, slug, URL, or catalog ID. This is crucial for using the tool correctly and compensates for 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 a specific action ('Resolve'), the exact resource types accepted ('Naturepedia identifier, slug, URL, or catalog ID'), and the expected output ('current canonical record and payment metadata'). This distinguishes it from sibling tools like search (finding) and about (general information), which involve different operations.

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 use of the word 'exact' implies that this tool is intended for precise lookups rather than fuzzy searches, suggesting when to use it. However, it does not explicitly mention alternative tools like search_naturepedia or state conditions when this tool should not be used, leaving the guidance implicit rather than explicit.

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 adds the trait 'live' (indicating real-time data) and lists the specific content types searchable, but it fails to disclose return format, pagination, ordering, or other behavioral details. This is insufficient for a search tool with no output schema.

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 a single, front-loaded sentence that efficiently conveys both the action and the resource. Every phrase adds informational value, and there is no redundant or filler text. It is concise without sacrificing key details.

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 the lack of annotations, output schema, and parameter descriptions, the description should provide broader context. It lists searchable content types but omits result format, response structure, and any limitations or prerequisites. For a search tool, the description is notably incomplete and leaves the agent guessing about what to expect.

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 schema has 0% description coverage for its two parameters (query, maxResults), and the tool description does not compensate by explaining their meaning or usage. Although the parameter names are self-explanatory, the description adds no semantic value beyond the schema, which is already minimal. This is a critical 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 tool's action ('Search'), the specific resource ('live Naturepedia AI catalog'), and enumerates the distinction across multiple content types ('canonical pages, registries, system maps, knowledge meshes, Robbie's Razor resources, and MRD authority records'). This differentiates it from sibling tools like about_naturepedia and resolve_naturepedia_resource, which serve different purposes.

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 implies when to use the tool—when searching for any of the listed catalog item types—but does not explicitly state exclusions or reference alternatives. It lacks clear 'use this instead of X' guidance, leaving the agent to infer from the list of content types and the sibling tool names.

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