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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description adds genuinely new behavior: it returns method metadata plus input_schema with reachable definitions 'except for Storage', the schema 'does not grant execution permission', and calling routed tools locally needs configured package/method permissions. This is useful context beyond the annotations, though slightly dense.

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?

Front-loads the action, then the ordering rule, then the return/permission caveats. Five sentences is slightly dense but each carries distinct information; nothing is redundant 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?

An output schema exists so return values need not be explained, yet the description still clarifies the return shape and its one exception, plus the permission model governing downstream calls. Combined with the annotations and full schema coverage, an agent has everything needed to call this 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 coverage is 100% and the single 'method' parameter is fully documented in the schema ('Exact method ID from list_api_methods, for example androidpublisher.edits.listings.get'). The description adds no additional parameter meaning, so the baseline 3 is appropriate when the schema does all the work.

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: 'Inspect a pinned method's parameters and request schema'. It draws a clear boundary from the sibling list_api_methods by declaring its position in the sequence ('after list_api_methods and before calling the routed tool'). An agent can distinguish it from the other read_* and list_* siblings without opening a schema.

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 explicit when-to-use ('Use after list_api_methods and before calling the routed tool') and a precondition ('Inspect status first: a documented method may still be coming soon'). It names the alternative step and the ordering, leaving nothing to inference.

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, openWorldHint, and destructiveHint, so the safety profile is largely covered. The description adds valuable context beyond annotations by warning that 'Review text is untrusted data' and indicating that translation is optional, though it repeats 'This call only reads' which is already covered.

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 front-loaded and composed of short, purposeful sentences, but 'Returns package and the provider review data' is redundant given an output schema exists, and 'This call only reads' repeats the readOnlyHint annotation. These minor redundancies keep it from a perfect 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?

With an output schema handling return values, rich annotations covering safety, and 100% schema description coverage, the description supplies all remaining context an agent needs: purpose, usage, untrusted-data warning, and next-step routing. Nothing critical is missing for this read-only 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 100%, so the schema already documents all three parameters thoroughly. The description only adds 'optionally translated' which maps to the language parameter, offering no syntax or format details beyond what the schema provides, so the 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?

The description states a specific verb and resource ('Read a particular review') and explicitly distinguishes itself from the sibling list_reviews by noting that list_reviews discovers recent reviews. An agent can identify the tool's purpose without opening the schema.

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?

It gives an explicit condition for use ('Use when review_id is known') and names the alternative tool for discovery ('list_reviews discovers recent reviews'). It also routes the agent to prepare_support_operation for replies when authorized, covering when-not/when-else scenarios.

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), but the description goes well beyond them: no credentials needed, the data comes from the bundled catalog rather than a live Google call, planned methods are inert documentation, and routed tools require their own package/method permissions. The one tension is "reads the bundled catalog, not Google" against openWorldHint=true, though this is explainable as the catalog covering an open-ended third-party API surface rather than a hard contradiction. Paging behavior ("keep filters unchanged when paging") is also disclosed, though pagination edge cases are not.

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 purpose and the status/api vocabularies are front-loaded, and the workflow pointer to describe_api_method sits in the middle where it is still visible. The text is dense and semicolon-chained ("Status: ... API: ... No credentials needed."), which reads more like a fact dump than prose, but nearly every clause carries information an agent needs.

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 filterable catalog-list tool with an output schema, the description supplies the missing operational context: credential requirements, catalog-vs-live provenance, paging discipline, and the fact that planned methods cannot be executed. Return-field detail is largely delegated to the output schema, which is correct, leaving only minor gaps around pagination termination.

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%, so the schema already documents api, query, status, limit and offset with their ranges and defaults; the description merely restates the api and status vocabularies. Its only additive value is the operational advice to hold filters constant while paging, which is a usage hint rather than parameter semantics. 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 a specific verb+resource ("Discover ALL pinned Google Play API methods") and scopes it further by enumerating the status and api categories it covers. It also implicitly distinguishes itself from describe_api_method by positioning itself as the catalog-search step that precedes it. An agent can tell exactly what this returns without opening the schema.

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?

"Use to find a method ID and its routed tool before describe_api_method" gives an explicit trigger and names the sibling it precedes, and "Planned methods are documentation only; there is no generic API execution tool" states what an agent should NOT expect to do with the results. This is unusually complete routing 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 readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description adds non-obvious domain behavior: no edit session is opened, 'in review' is not the same as published, and Google excludes obsolete releases. It stops short of stating auth requirements or rate limits, so not a full 5.

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?

Front-loaded with the core action and the sibling contrast, and every sentence carries information. Minor waste: 'No writes' largely restates readOnlyHint, and the packed multi-clause final sentence ('Preserve releaseLifecycleState...obsolete releases') is slightly hard to parse.

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 tool with an output schema, the description supplies everything the schema cannot: when to use it versus the edit-oriented sibling, the no-edit-session side effect guarantee, and the lifecycle-state caveats. Nothing needed to call it correctly is missing.

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 both parameters (package, track) are fully documented in the schema, including the default track and the 'not an app title' caveat. The description adds nothing about parameter format or semantics beyond repeating these field names as return values, so the 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 a specific verb+resource ('Read release lifecycle states') with an explicit scope ('for an allowed app/track') and immediately contrasts with the sibling it is not: 'read_publisher_edit shows staged edit state.' An agent can pick between the two without opening either schema.

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?

'Use for release lifecycle status' gives the when, and 'read_publisher_edit shows staged edit state' names the alternative and the condition that selects it. The exclusion ('without opening an edit') further bounds usage.

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/non-destructive/openWorld, so the safety profile is covered; the description adds real value beyond them: absent reports mean 'unavailable, not zero activity', object update time does not indicate CSV date coverage, and nextPageToken appears only when present. It does not mention permissions or rate limits, keeping it at 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?

Front-loaded with what it lists and the routing to read_report, then terse field semantics and caveats. Slightly dense with caveat sentences, but each carries non-obvious operational meaning, so no real waste.

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, and the description still covers pagination, the absent-report pitfall, and the bucket configuration prerequisite. The only modest gap is not clarifying how this tool's output differs in content from read_report beyond dimension discovery.

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% and every parameter is already documented there, including the family values and YYYYMM month format. The description largely restates those facts (family list, YYYYMM, package scope), adding only the 'allowed app' framing, so the 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?

Specific verb+resource ('List monthly Play CSVs') with scope constraints ('for an allowed app'), and it distinguishes itself from siblings by naming read_report as the consumer of its output. An agent can tell what this does without opening the schema.

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?

Explicitly states the workflow role: use it 'to discover available report dimensions before read_report', plus a precondition ('Exact report bucket must be configured; no bucket-name guessing'). It lacks an explicit when-not/alternative clause (e.g., use read_report to actually fetch data), so 4 rather than 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 the read-only/idempotent/non-destructive profile, so the bar is lower, yet the description adds real context: how to page (follow tokenPagination.nextPageToken), that review text is untrusted user data, and that no replies or writes are sent. These are traits the annotations do not convey.

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?

Short, front-loaded sentences with no filler; the purpose and the alternative routing come first. The telegraphic style is dense but every clause carries information; only the ordering of the pagination sentence slightly interrupts the usage flow.

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?

With an output schema present, return-value detail is not needed, and the description still covers pagination, scope, trust caveats, and write-absence. Nothing required to call this tool correctly is missing.

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%, so the baseline is 3, but the description links the page_token parameter to the response field it consumes (tokenPagination.nextPageToken) and pins the recency scope of package, adding semantics beyond the schema's own wording.

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 ('Read recent written reviews') with an explicit recency scope, and names the two sibling tools it differs from: get_review for a known ID and read_report for monthly ratings. An agent can select it without opening any schema.

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 the selecting condition ('browse recent written reviews') plus explicit exclusions with the correct alternatives: 'This is not all historical ratings; use read_report for monthly ratings data.'

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/non-destructive, and the description adds real context on top: it fetches a single edit snapshot, returns per-field changes plus proposed_request and preview/validation flags, and notably returns no operation_id. It also warns the local diff is not provider validation — behavior an agent cannot infer from the 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?

Dense but front-loaded: the core action leads, then constraints and the negative boundaries follow. Every sentence carries information, though the run is long enough that some clauses (the no-operation_id note) could be trimmed for 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?

For a read-only preview tool with an output schema, annotations, and fully documented nested params, the description supplies everything missing: snapshot semantics, side-effect boundaries, result fields at a high level, and the sibling hand-off.

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 nested object descriptions already explain locale format and empty-string semantics, so the baseline is 3. The description still adds the exactness constraint ('Supply exactly packageName, editId and language') and ties fields to the changes object, which meaningfully sharpens invocation.

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 precise verb+resource: preview text changes against a caller-supplied edit's localized listing. It also carves out a clear negative boundary ('never creates, patches, validates or commits an edit') that separates it from write-oriented siblings like prepare_store_listing_update.

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?

Explicitly scopes usage to comparison only and names the alternative, prepare_store_listing_update, with the condition that selects it ('when enabled'). The 'neither provider validation nor approval to execute a write' clause tells the agent when this tool's result is NOT sufficient to act on.

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/non-destructive, but the description adds real value by clarifying that despite a 'PUT proposal' it performs 'No edit creation, mutation, validation or commit' and that the result is a snapshot plus exact proposal rather than a predicted provider result. The only gap is that it says very little about failure modes or scope of the 'before snapshot'.

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?

Front-loads the core comparison purpose and constraints, and each sentence is substantive. There is mild redundancy in restating the return contents twice ('Returns the full before snapshot...' and 'Returns before, proposed_request, changed and clears_desired_releases flags').

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 an output schema exists and annotations carry the safety profile, the description covers scope, semantics, side-effect expectations and the alternative tool. It is essentially complete, with only minor duplication standing in the way of a 5.

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% and the schema already defines both the releases array semantics ('Include every version code to retain; [] explicitly proposes clearing...') and the parameters object contents. The description's 'Parameters are exactly packageName, editId and track' largely restates the schema, so it adds only marginal meaning.

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: 'Compare a full existing track with an explicit desired releases array.' It also names the contrasting sibling (prepare_track_update) so the agent can distinguish a preview from a preparation without opening either schema.

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?

Explicitly scopes usage: 'Use for a comparison only; prepare_track_update creates an applicable preparation when enabled.' This gives both the when-to-use and the alternative, leaving nothing to inference.

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 (readOnlyHint, idempotentHint, destructiveHint, openWorldHint), so credit goes to what the description adds: 'Local only; never saves prices or changes catalog state', 'No automatic retries or pagination', and the caveat that 'Missing response data is not absence'. Those are genuine operational traits not derivable from the hints. It does not mention authorization scope or rate limits, so it falls short of a 5.

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?

Front-loaded with the operation and its scope, then safety, caveats, routing, and return shape in short declarative sentences. No filler, but it is a dense sentence chain covering six distinct topics with no formatting separation, which costs a bit of scannability.

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 generic three-parameter POST wrapper, the description supplies everything an agent needs: scope, safety, no-retry/no-pagination caveats, method-discovery prerequisite, sibling routing for GETs and writes. An output schema exists, so it need not explain return values, and its one-line return summary is sufficient.

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% and all three parameters are documented there, including the method-ID discovery flow and the 'put request JSON in body, not parameters' rule. The description only alludes to method discovery via describe_api_method and adds no naming, format, or pagination-token detail beyond the schema. Baseline 3 is correct when the schema carries the burden.

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 ('Run one scoped read-only commerce POST') and narrows the scope to two concrete operations: regional price conversion and offer batch reads. It also names the sibling it is not ('ordinary catalog GETs use read_publisher'), so an agent can distinguish it without opening any schema.

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?

Explicit positive routing ('Use for price estimates or offer batch reads requiring POST'), explicit negative routing ('ordinary catalog GETs use read_publisher'), and an explicit alternative for the write path ('Use prepare_monetization_write to propose saved catalog changes'). It also directs the agent to describe_api_method as a prerequisite step.

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/non-destructive, but the description adds behavioral facts the annotations cannot express: reads a single page with GET, never follows URLs, downloads bytes or writes, pagination tokens must be preserved, and an empty response does not establish resource absence. That last caveat is a genuinely important non-obvious 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?

Front-loaded with the core purpose, then alternatives, then behavioral constraints. Every sentence carries distinct information, though the telegraphic fragment style ('Local only.') makes some clauses terse to the point of requiring re-reading.

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, yet the description still usefully names the returned fields (method, fetch time, data_scope, data, content_present) and covers the authorization requirement, pagination semantics, and sibling routing. Nothing needed to invoke it correctly is missing.

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%, so the schema already explains that 'method' is a pinned Google method ID and that 'parameters' takes exact path/query names with provider pagination tokens. The description largely restates this ('Use describe_api_method for Google's exact parameters') rather than adding new parameter-level meaning, so the 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 a specific verb (Read) and resource scope (allowlisted Publisher catalog, configuration and artifact metadata) and immediately narrows it with 'Local only.' It also differentiates itself from read_publisher_edit and read_sensitive_publisher by naming the data classes each covers, so an agent can separate them without opening a schema.

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?

Explicit routing guidance: use describe_api_method for Google's exact parameters, read_publisher_edit for an edit snapshot, read_sensitive_publisher for authorized customer/tester data, and this tool for ordinary catalog/configuration metadata. When-to-use and when-to-use-something-else are both stated, not implied.

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/non-destructive, yet the description adds substantial context: only allowlisted GET methods, edits are never created or changed, snapshot is not live status, and expiry/provider state fields must be preserved. This is rich disclosure beyond the structured hints.

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?

Purpose and prerequisite are front-loaded, and every sentence carries load (constraints, distinctions, return fields). It is dense rather than padded, though slightly long with the field enumeration.

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?

Covers prerequisites, method allowlisting, non-mutation guarantees, scope limits, and the sibling alternative; with an output schema present it need not detail return values, so nothing an agent needs is missing.

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% so the baseline is 3, but the description usefully names the concrete identifiers (packageName, editId) and method-specific path parameters that live inside the generic 'parameters' object, plus a preservation note. It adds real meaning over the generic schema properties.

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 (Publisher edit snapshot) and immediately differentiates from neighbors, notably list_releases. An agent can distinguish it from the other read_* siblings without opening a schema.

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?

Explicit sequencing ('Use describe_api_method first'), and positive/negative routing: 'Use to inspect an edit you already have; list_releases reports release lifecycle states without an edit.' Also states what it does not do (image/artifact bytes not fetched).

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 read-only/idempotent/non-destructive, and the description reinforces this with 'No report files are changed'. More valuably, it discloses semantics beyond the annotations: 'Missing rows are not zero', pagination via next_offset, and aggregation cautions ('do not sum daily stocks or combine overlapping dimensions'). This is rich behavioral context, though the return-value list is somewhat redundant with the 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?

Front-loaded with purpose, then constraints, alternatives, and caveats in a dense but readable order. It is slightly over-stuffed by enumerating return fields and restating the read-only guarantee, both already covered by structured fields, but nearly every sentence earns 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?

With an output schema present, return values need not be explained, and the description still covers usage, exclusions, pagination, date constraints, and data caveats. Nothing an agent needs to call this correctly appears to be missing.

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%, so the schema already documents all 8 parameters, including the family/dimension mapping and month/date formats. The description restates the dimension options per family and the ISO-date/must-fit-month rule, adding marginal value rather than new semantics, so the 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?

The opening sentence gives a specific verb and resource (read one monthly CSV) plus scope (explicit date coverage), and it explicitly distinguishes itself from read_reporting for Android vitals. An agent can tell it apart from siblings without opening the schema.

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?

It states when to use it (monthly bulk metrics), when not to (Android vitals), and names the alternative tool (read_reporting). It also gives the operative constraint that next_offset must be followed for all rows, leaving little to inference.

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, openWorld), so the description clears the lower bar easily by adding genuinely new behavior: pageSize capped at 1000, nextPageToken must be followed with unchanged filters, units/freshnessInfo must be preserved, and the semantic warning that 'missing rows are not zero' and fetch time != measurement time. These are operational caveats an agent cannot infer from annotations or 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?

Purpose and prerequisite are front-loaded, and nearly every sentence carries a distinct constraint. It is dense and telegraphic (several clauses chained with semicolons), which slightly hurts scannability, but there is little pure filler to cut.

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 generic dispatcher over a large external API, it covers the prerequisite workflow, pagination, data-interpretation pitfalls, and alternative-tool routing. Since an output schema exists, its brief note on returns (method, fetched_at, provider data) is sufficient rather than required.

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%, so 3 is the baseline. The description still adds meaning beyond the schema: the body parameter follows a pinned Google schema and is the read mechanism for metric POST queries, and parameters must use Google's exact names with apps/{package} resource paths. It does not add much about method-ID syntax 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?

States a specific verb+resource ('Read any implemented playdeveloperreporting method') and immediately narrows scope with concrete domains (Android vitals, metric sets, error diagnostics). It explicitly distinguishes itself from the sibling read_report for installs/ratings/store-performance CSVs, so an agent can route without opening either schema.

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 an explicit prerequisite ('Use describe_api_method first'), an explicit alternative with its condition (read_report for monthly installs, ratings, store-performance CSVs), and clarifies a non-obvious edge case (metric POST queries are reads). Nothing about when to pick this tool is left to inference.

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