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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower, and the description still adds two useful behavioral facts: that translation is optional, and that review text is untrusted data (a prompt-injection caveat not derivable from any structured field).

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 tightly written sentences with zero filler, front-loading the core action and appending the security caveat. Nothing could be removed without losing meaning.

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?

An output schema exists, so return values need not be described, and annotations carry the safety profile. What remains missing is the relationship between 'package' and 'review_id' and how callers obtain a valid id, but the tool is simple enough that this is a minor gap.

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% across 3 parameters, so the schema gives no meaning for 'package', 'review_id', or 'language'. The description partly compensates by implying 'language' drives translation, but it never explains 'package' or the package/review_id pairing, leaving the burden largely unmet.

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 names a specific verb ('Read') and resource ('a particular review'), and the singular framing distinguishes it from the sibling list_reviews. It is clear but does not explicitly name the alternative tool, so it falls just short of the top band.

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: an agent can infer this fetches one review by id while list_reviews enumerates them, but there is no explicit when-to-use statement, no prerequisite (e.g. needing a review_id obtained from list_reviews), and no 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?

Annotations already declare read-only, idempotent, open-world, non-destructive behavior, so the safety profile is covered. The description adds genuinely non-derived facts: no credentials are needed, planned methods are documentation-only, and no generic execution tool exists — real behavioral context beyond the 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?

Five short, front-loaded statements with no filler; the core purpose leads and the constraints follow. It is appropriately sized for a discovery tool, though the telegraphic phrasing slightly hampers readability.

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?

An output schema exists, so return format need not be explained, and annotations cover the safety profile. What remains missing is pagination/filtering behavior for limit, offset, and query, which an agent would need to page through results correctly.

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 carry parameter meaning, and it only clarifies the value domains for two of five parameters (api and status). It says nothing about limit, offset, or query, leaving pagination and filtering semantics undocumented anywhere.

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 and resource: discovering pinned Google Play API methods, with the allowed api values (androidpublisher, playdeveloperreporting, storage) and statuses (implemented or coming_soon) enumerated. It is clearly distinct from the sibling list_releases/list_reviews/report-file tools, though it never names a sibling to sharpen the distinction.

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: the note that planned methods are documentation only and that 'there is no generic API execution tool' steers the agent away from expecting execution, which is useful constraint-setting. However, there is no explicit when-to-use vs. the sibling listing tools or when-not-to-call 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, idempotentHint, destructiveHint=false and openWorldHint, so safety is fully covered. The description adds only the mild reinforcement "without opening an edit" and the "allowed" permission cue; it says nothing about rate limits, result shape, or what an unauthorized app returns.

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?

One short sentence with the resource and scope front-loaded and no filler. It is efficient, though arguably too terse to carry the missing parameter and usage guidance.

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?

An output schema exists, so return values need not be described, and annotations cover the safety profile. However, with 0% parameter coverage and no usage routing, the definition leaves real gaps an agent would need the schema to fill.

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 0%, so the description must carry parameter meaning, but it only echoes "app/track" and never explains that the required input is a package identifier or that "track" defaults to production. The required vs optional distinction is left entirely to 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?

The description gives a specific verb ("Read") and resource ("release lifecycle states"), scoped to an app/track. It does not explicitly differentiate from siblings like list_reviews, but those cover unrelated domains so confusion is unlikely. It is clear but stops short of naming where release data comes from.

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?

"for an allowed app/track" hints at a permission precondition but there is no when-to-use, when-not-to-use, or named alternative. The agent must infer that this is the read path versus whatever edit flow "opening an edit" refers to.

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 cover the safety profile (readOnly, idempotent, non-destructive, open-world), so the bar is lower. The description adds a genuinely useful operational constraint beyond that: the report bucket must be pre-configured and must not be guessed, which prevents failed calls.

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?

Three short, zero-waste sentences: purpose first, then the two value domains, then the hard precondition. Every sentence carries information an agent needs and nothing is padded.

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?

An output schema exists, so return values need not be explained, and the annotation set is rich. Still, the pagination parameter (page_token) and its behavior are unaddressed, and the relationship to the sibling read_report is left implicit for a tool whose whole job is to feed that next step.

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, and it partially does: it enumerates family values ('installs, ratings or store_performance') and the month format ('YYYYMM'). It says nothing about the 'package' parameter's expected form or the 'page_token' pagination parameter, leaving half the inputs undocumented in both places.

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 and resource: 'List monthly Play CSVs for an allowed app', with the scoping domain (Play reports) made explicit. It never names or contrasts itself with siblings such as read_report (which presumably fetches CSV contents), so an agent must infer the boundary from the verb alone.

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?

Gives a precondition ('Exact report bucket must be configured; no bucket-name guessing'), which steers correct invocation. However, there is no explicit when-to-use vs. when-to-use-alternative guidance, and no statement of how this differs from read_report in a workflow.

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, openWorld and non-destructive, so the safety profile is covered. The description adds one genuinely useful behavior: pagination via tokenPagination.nextPageToken. It omits rate limits, ordering, or recency definition, so it is modestly additive.

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, no filler, with the core action and the pagination directive front-loaded in order of importance.

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?

An output schema exists so return values need not be explained, but with 0% schema coverage the description should document the required 'package' filter and the meaning of limit/language. As written, an agent cannot tell what 'package' refers to or how filtering works.

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% for 4 parameters, so the description carries the full burden and fails: it explains none of limit, package, language, or page_token semantics. Only the pagination concept is loosely hinted at via the nextPageToken mention.

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 ('Read') and resource ('recent written reviews'), which clearly distinguishes it from the singular get_review sibling. It doesn't explicitly name siblings or scope limits, but the action is 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?

No guidance on when to use this versus get_review, nor on what the 'package'/'language' filters do. The pagination hint implies follow-up calls but doesn't state when to stop or how filtering interacts with results.

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 read-only, idempotent, openWorld, non-destructive. The description adds behavioral context the annotations do not: pagination must continue via next_offset, and ISO dates must fall within the requested month. It does not disclose rate limits or partial-result behavior, so 4.

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?

Three compact sentences, front-loaded with the core action and pagination directive, no filler. Some phrases ('explicit date coverage') are terse at the expense of clarity, so not a 5.

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?

An output schema exists, so return values need no explanation. However, with 6 required parameters at 0% schema coverage, the description only explains dimension values and the month/date constraint; package, family, and date format remain unaddressed for a complex 8-param 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% across 8 parameters, so the description must compensate. It usefully enumerates valid dimension values and constrains month/date alignment, but package, family, start_date/end_date format, limit and offset semantics are only partially implied. Baseline 3 reflects partial compensation.

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 and resource: reading a monthly CSV report with date coverage. It is distinguishable from list_report_files (listing) and the review-list siblings. It stops short of an explicit sibling differentiation, so it lands at 4 rather than 5.

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?

Gives real selection guidance: which dimensions belong to installs/ratings (overview, country, app_version, ...) versus store performance (country, traffic_source), and instructs to follow next_offset for all rows. It lacks any explicit when-not or comparison against sibling tools, keeping it below 5.

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