Harshith Nayaka L portfolio docs

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

Annotations already declare readOnly, idempotent, and closed-world, so the safety profile is covered. The description adds genuine value beyond that by disclosing the return format (markdown) and the notable exception that the OpenAPI document comes back as YAML, which an agent could not infer from structured fields.

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?

A single front-loaded sentence with no waste; the essential content and format caveat are both packed in without redundancy.

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 simple single-parameter read tool with no output schema, the description adequately conveys what is returned and in which format. Minor gaps like document size or truncation behavior remain but are not essential for correct invocation.

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 coverage is 100% and the single enum parameter is fully documented, so the baseline is 3. The description's note that OpenAPI is YAML loosely corresponds to one enum value but adds little syntactic detail beyond the schema.

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?

States a specific verb+resource ('One developer document in full') and specifies the return format (markdown), with the OpenAPI exception noted. It implicitly distinguishes itself from the list_docs/search_docs siblings by returning a full document, though it never names them.

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?

Usage is only implied: 'in full' hints at retrieving complete content after locating a path, but there is no explicit when-to-use guidance or reference to the sibling tools. The pointer to list_docs appears only in the schema, not the description.

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?

Annotations already declare readOnly, idempotent, and closed-world, so the safety profile is covered. The description adds genuinely new context: the tool returns the complete set of site documents (implying no pagination or partial results) along with path, title, and summary fields, which tells the agent what to expect in the payload.

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?

Two short sentences; the scope and payload come first, then the routing hint. No redundancy, nothing to trim.

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, zero-required list tool with no output schema, the description covers scope, return fields, filtering, and the follow-up read path. The one gap is sibling differentiation against search_docs, which matters for correct tool selection.

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 coverage is 100% and the 'query' parameter already documents substring matching against title or summary, with examples and omit behavior. The description's "optionally narrowed to a topic" restates that at a coarser grain without adding syntax or matching-rule detail, so baseline 3 applies.

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?

States the resource (every developer document on the site) and the returned fields (path, title, what it covers), plus the optional narrowing — an agent knows exactly what comes back. It explicitly distinguishes itself from get_doc ("Read one with get_doc") but says nothing about search_docs, which is the sibling most likely to be confused with the 'query' narrowing behavior.

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?

"Read one with get_doc" gives one clear routing rule to an alternative, and "Omit for every document" hints at the enumerate-everything use case. But the closest alternative, search_docs, is never mentioned, leaving the agent to infer whether topical narrowing here or a search call is the right choice.

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?

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond them by disclosing result ordering ('best first') and that each hit carries a source URL — important since there is no output schema. It does not mention corpus scope, empty-result behavior, or result size limits.

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?

A single sentence with no filler; the ranked-order and URL information is packed into the clause rather than a separate sentence. Nothing could be removed without losing content.

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 two-parameter read-only lookup with full schema coverage and existing annotations, the description covers what the tool returns and how results are ordered, which is the main gap given there is no output schema. Minor omissions remain around which documentation set is searched and what an empty result looks like.

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 100%, with both 'query' and 'limit' documented in the schema including an example and bounds, so the baseline is 3. The description adds nothing about either parameter beyond what the schema already says.

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 states the resource (documentation sections) and the retrieval behavior (best match to a question), including that results carry source URLs and are ranked best-first. It implicitly contrasts with get_doc/list_docs by framing the result as a ranked match set rather than a single doc or an enumeration, but it never names those siblings explicitly.

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?

Usage is only implied by the phrase 'best match a question' — an agent can infer this is for question-driven retrieval rather than browsing. There is no explicit when-to-use/when-not, and no routing to get_doc for a single known document or list_docs for enumeration.

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