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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description goes beyond by detailing the return payload: 'JSON with sitemap details including path, status, content counts, warnings, and errors,' giving the agent insight into what to expect. This adds valuable behavioral context about the operation's output without contradicting any annotation.

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 well-structured: a one-sentence purpose, a concise Args section with bullet points for each parameter, and a Returns section. All content earns its place with no fluff or repetition. The format is scannable and front-loaded, making it easy for an agent to parse quickly.

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 read-only tool with a single nested parameter and an output schema, the description covers the essential aspects: purpose, parameters, and return value. It could optionally mention permissions or an example, but given the annotations (read-only, idempotent) and the straightforward nature of the operation, the description is sufficiently complete. A minor gap is the lack of explicit connection to sibling tools for workflow context, but it is not necessary for a basic getter.

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 provides descriptions for the inner fields site_url and feedpath, though the outer 'params' parameter itself has no description (schema coverage 0% at top level). The tool description lists both parameters and clarifies site_url as 'The GSC property URL' and feedpath as 'Full URL of the sitemap,' offering slightly more explicit semantics than the schema's 'Site URL as it appears in GSC.' However, this is largely redundant with the schema's field descriptions, so the added meaning is marginal. Baseline 3 is appropriate.

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 opens with 'Get details for a specific submitted sitemap,' clearly stating the verb ('Get'), resource ('sitemap'), and scope ('specific'). This distinguishes it from sibling gsc_list_sitemaps, which would list all sitemaps, and from gsc_inspect_url or gsc_search_analytics. The title 'Get Sitemap Details' aligns perfectly, making the purpose unambiguous.

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 context by focusing on a 'specific submitted sitemap' and requiring both site_url and feedpath, which signals it is for retrieving details of one known sitemap. It stops short of explicitly naming alternatives like gsc_list_sitemaps for enumeration, but the clear context ('specific') provides sufficient guidance for selection among siblings. Lacks explicit when-not or alternative tool mentions, hence not a 5.

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=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds useful return-field details (indexStatusResult, mobileUsabilityResult, richResultsResult) but does not mention permissions, rate limits, or edge cases, so it does not exceed the annotation baseline significantly.

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 logically structured with an intro, API note, Args, and Returns sections. It is slightly redundant by repeating 'indexation status' and 'crawl info' in the first two sentences, but overall it is efficient and front-loaded.

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 output schema exists, the description goes beyond by summarizing what the returned JSON contains. The tool has nested parameters, but the schema covers the structure. The description is complete for normal use, though it omits authentication and prerequisite details, which are likely out of scope.

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 already provides descriptions for both parameters (site_url and inspection_url), including examples. The tool description simplifies these but does not add new semantic meaning beyond what the schema offers. Baseline 3 is appropriate given high schema 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 tool inspects a URL's indexation status, crawl info, and rich results. It uses a specific verb ('inspect') and resource ('URL'), and is distinct from siblings like search analytics or sitemap tools.

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 for checking a single URL's performance in GSC, which is distinct from listing sites or sitemaps. It does not explicitly name alternatives or exclusions, but the context is clear enough to guide tool selection.

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 safe read-only, idempotent, and non-destructive behavior. The description adds the return structure (fields like path, isPending, errors) and clarifies 'submitted' sitemaps, which is useful context. However, it does not discuss potential errors, rate limits, or verification requirements beyond the annotation-provided safety profile. Given the strong annotations, a mid-score is appropriate.

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 well-structured: a clear one-line purpose, followed by a concise parameter list and a return field breakdown. It front-loads the key information and avoids unnecessary fluff. Slightly verbose due to the full return field enumeration, but this is still efficient and scannable.

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 a simple single-parameter tool with annotations covering safety, the description is nearly complete. It documents the return fields and the input requirement. While it omits error scenarios and explicitly verifying the property, these are minor gaps. The presence of an output schema further reduces the need to detail returns, so overall completeness is good.

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 already provides a detailed description for site_url (including examples), while the tool description only repeats 'The GSC property URL' with less specificity. Since the schema coverage is high, the description adds minimal semantic value beyond what the schema provides. Baseline 3 is appropriate.

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 lists all submitted sitemaps for a verified property. The verb 'list' and resource 'submitted sitemaps' are specific, and the scope is defined. This differentiates from siblings like gsc_get_sitemap (which likely retrieves a single sitemap) and gsc_list_sites (which lists properties).

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, nor does it mention exclusions or prerequisites beyond 'verified property'. There is no reference to sibling tools or scenarios where another tool would be more appropriate, leaving the agent without explicit decision support.

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 indicate read-only, idempotent, and non-destructive behavior. The description adds meaningful context by specifying the return format (JSON string) and fields (siteUrl, permissionLevel), as well as noting it lists sites 'you have access to'. This goes beyond annotation basics.

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 concise, with only two short paragraphs and a structured Returns block. Every sentence contributes to understanding the tool's purpose and output. 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 zero-parameter, read-only tool with rich annotations and an output schema, the description is sufficiently complete. It clearly states what is returned and the key fields, covering all necessary contextual information.

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, so the description carries no parameter semantics. The baseline for no parameters is 4, and the description appropriately avoids adding unnecessary parameter details.

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 'List all verified properties in Google Search Console', using a specific verb and resource. It is distinct from sibling tools like gsc_list_sitemaps or gsc_search_analytics, which cover different resources.

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 one needs to list verified properties, but does not explicitly state when to use this tool over alternatives. It provides no exclusions or alternative tool names, so it only reaches implied usage 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context beyond annotations, such as the return format (JSON rows with metrics and dimension keys, total row count metadata), defaults (end_date defaults to today, row_limit defaults to 100), and the requirement for a verified property. No contradictions with annotations.

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 well-structured with a concise summary line followed by an Args section and Returns section. It is front-loaded with the core purpose, and every sentence adds value. The length is appropriate for the tool's complexity, 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?

The description covers the essential aspects of the tool: data returned, grouping dimensions, filtering, date range, pagination, and search type. It explains the return format and metadata. Although an output schema exists, the description still provides the necessary high-level overview. For a tool with this many options, the description is thorough and complete.

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% at the top level, but the description compensates by enumerating all parameters with their types, optionality, and defaults. It adds meaning beyond the schema by explaining each parameter's purpose (e.g., pagination offset, search type options). The nested schema also has detailed descriptions, so the description supplements rather than duplicates.

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 it queries search performance data (clicks, impressions, CTR, position) for a verified property, distinguishing it from sibling tools that handle sites, URL inspection, and sitemaps. The verb 'query' and resource 'search analytics data' are specific and unambiguous.

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 when to use the tool (to retrieve search analytics with grouping/filtering). It doesn't explicitly mention when not to use it or name alternatives, but the distinct purpose among siblings makes its usage obvious. No exclusions are stated, but the context alone is sufficient.

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