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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states the operation but does not explicitly mention side effects, return behavior, or purity. For a simple integer addition, the operation itself implies a deterministic calculation, and the output schema covers the return shape.

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 three words long and completely front-loaded. Every word is meaningful and there is no filler. For a tool this simple, this is an appropriately efficient size.

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 input schema fully defines the two required integer parameters, the description defines the operation, and an output schema exists. An agent has all the information needed to select and invoke the tool correctly. Nothing essential 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 0%, and the description does not name 'a' or 'b' individually. However, 'two integers' clarifies that both parameters are operands of the addition, which is sufficient for a commutative two-parameter operation. No further parameter-specific detail is necessary here.

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 a specific verb and resource: 'Add two integers.' This clearly states the operation and distinguishes it from siblings like multiply, echo, and get_user_profile. There is no ambiguity about what the tool does.

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: use this tool when two integers need to be summed. It does not explicitly name alternatives or exclusions, but the operation is self-evident and distinct from the sibling tools. No prerequisites or special conditions are needed.

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?

No annotations are present, so the description carries the full behavioral disclosure burden. It only says it may refresh 'if needed,' without revealing side effects such as network calls, token storage updates, potential credential failures, or whether it is safe to call repeatedly.

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 with no filler words. It is concise but sacrifices behavioral and usage detail; still, as a standalone sentence it is well-structured and easy 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 mutation-like token refresh tool with no annotations assets, the description is incomplete. It does not explain when the agent should invoke it, what triggers a refresh, what happens on failure, or how the `random_string` parameter should be handled.

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 has one parameter (`random_string`) with 0% description coveragevie, and the description does not mention it at all. An agent cannot tell whether this parameter is meaningful, a cache-buster, or simply a dummy placeholder, so the description adds no semantic value 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?

The description states the action ('auto check and refresh') and the resource ('Reddit access token') with a clear conditional ('if needed'). This distinguishes it from the unconditional sibling `refresh_reddit_token` and from status-only tools like `get_reddit_token_status`.

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 does not explain when to call this tool versus alternatives such as `refresh_reddit_token` or `get_reddit_token_status`. It implies maintenance of token validity, but provides no explicit guidance about prerequisites, forced refresh, or calling it before Reddit API operations.

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, but it only says 'auto check and refresh if needed' without specifying what 'if needed' means (expiration, threshold), whether the refresh can fail, or what side effects occur (e.g., credential updates). It does not mention required secrets, idempotency, or error handling, so an agent has limited understanding of the tool's execution 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?

The description is a single, front-loaded sentence that identifies the action and resource without excess words. It is appropriately concise for a tool with no parameters, though the vague 'if needed' could be more precise without bloating the text.

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 tool has no output schema and no annotations, so the description is the only source of behavioral context. It fails to explain the triggering condition, the success/failure behavior, or any prerequisites like OAuth configuration, leaving an agent uncertain about when and how to safely invoke the tool. For a simple but conditional operation, this is a notable 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?

The input schema has zero parameters, so there is nothing for the description to clarify beyond what the schema already shows. The description's explanation of the tool's conditional behavior is sufficient for a no-arg invocation, and per the baseline for 0 parameters, a 4 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 a specific verb ('check and refresh') and resource ('Spotify access token'), and the conditional phrase 'if needed' hints at the auto-refresh behavior that distinguishes this from the sibling refresh_spotify_token. It is not a tautology and gives an agent a solid idea of the tool's purpose, though it does not explicitly name the sibling it differs 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?

There is no guidance on when to use this tool versus alternatives like refresh_spotify_token or get_spotify_token_status. The description implies a conditional refresh but does not state any preconditions, exclusions, or preferred contexts, leaving the agent to infer the usage policy.

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 burden of behavioral disclosure. It does state that the tool checks first and only refreshes conditionally, which is useful. However, it does not mention side effects like updating the stored token, prerequisite OAuth setup, or failure 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?

The description is a single short sentence with no filler. It front-loads the action and includes the key conditional qualifier 'if needed' at the end without unnecessary elaboration.

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 utility with an output schema, the description captures the main purpose and conditional behavior sufficiently. It leaves the exact meaning of 'needed' and OAuth prerequisites implicit, but the low complexity and lack of arguments make this 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?

The input schema has zero properties, so there are no parameter semantics to add. The 0-parameter baseline of 4 applies because the description does not need to clarify anything about arguments.

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 Chinese description translates to 'automatically check and refresh YouTube access token (if needed)', naming a specific action and resource. It also clearly differentiates itself from the forced refresh_youtube_token sibling through the conditional 'if needed' 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?

The 'if needed' clause provides clear context for when this tool should be invoked: when a token refresh may be necessary but a forced refresh is not explicitly required. It stops short of naming alternatives such as refresh_youtube_token or stating when not to use them, so it is not fully explicit 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the purpose and parameter, with no mention of read-only nature, authentication requirements, or side effects. The agent must infer behavior from the tool name and description.

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 a clear one-sentence purpose and an Args block that documents the parameter. No unnecessary words or repetition.

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 comparison tool with an output schema, the description covers the essential information needed to invoke it correctly. However, it omits any prerequisites or edge cases (e.g., friend must be in the user's friend list), and it does not clarify how it differs from siblings, leaving some contextual gaps.

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 provides only the parameter name and type (string), with 0% description coverage. The description's Args section adds meaning by explaining that 'friend_steamid' is the Steam ID of the friend to compare with, compensating for the schema 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 verb 'Compare' and the resources ('your game library' and 'friend's library') with a specific outcome ('find common games'). This distinguishes it from sibling tools like get_steam_library or get_friends_current_games, which only fetch one side.

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 by stating the action, but it does not explicitly say when to use this tool versus alternatives. It does not mention when not to use it or point to other tools for related tasks, leaving the selection 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?

No annotations are provided, so the description carries the full burden of explaining side effects, but it only says it completes authentication and gets tokens. It does not disclose whether tokens are persisted, whether the authorization code is single-use, what happens on invalid input, or whether calling it multiple times has different effects.

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 short, front-loaded with the core purpose, and the Args list is compact with no filler. The docstring formatting adds a little noise, but every sentence contributes 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?

The description conveys the essential OAuth completion inputs: a callback authorization code and a matching redirect URI, with an output schema likely describing the returned tokens. It lacks explicit sequencing relative to setup_reddit_oauth and refresh_reddit_token, and it does not address error conditions or token persistence, which are important for an un-annotated auth mutation.

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% because the properties only have titles, so the description's Args list is the primary parameter guidance. It adds useful context by clarifying that authorization_code comes from a Reddit callback and that redirect_uri should match setup_reddit_oauth, but client_id and client_secret are essentially restatements of the property titles.

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 'Complete Reddit OAuth2 authentication (get tokens)', naming a specific action, resource, and intended outcome. This distinguishes it from siblings like setup_reddit_oauth and refresh_reddit_token, though the exact OAuth step could be stated more 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?

The description states that authorization_code comes from a Reddit callback and that redirect_uri should match the one used in setup_reddit_oauth, which implies when this tool should be used. It does not explicitly say when to prefer refresh_reddit_token or exclude alternative flows, so it lacks full when-not 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool completes authentication and returns status, but doesn't disclose side effects (e.g., storing tokens), whether it overwrites existing tokens, error conditions, or rate limits. For an OAuth completion step, this is a significant gap.

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 compact and front-loaded with the core purpose. The Args/Returns structure is scannable. It earns its place with parameter explanations and the redirect_uri matching note. Minor waste: the Returns line is vague ('Authentication completion status') and could be more specific.

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 4-parameter OAuth completion tool with no annotations and no output schema, the description is incomplete. It doesn't explain the OAuth flow context (e.g., that this must follow setup_spotify_oauth), what the returned status contains, or what happens on failure. The sibling tools show a clear OAuth lifecycle (setup → complete → refresh), but the description doesn't explicitly place itself in that flow.

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. It lists all four parameters with brief explanations (client_id, client_secret, authorization_code, redirect_uri) and notes redirect_uri is optional and should match setup. This adds some meaning beyond the schema, but the explanations are minimal and don't clarify formats, where to find the authorization code, or what 'optional' means for behavior.

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 purpose: completing Spotify OAuth2 authentication to obtain tokens. It names the specific verb 'Complete' and the resource 'Spotify OAuth2 authentication', which distinguishes it from setup_spotify_oauth and refresh_spotify_token. However, it doesn't explicitly contrast with those siblings, so it's clear but not fully differentiated.

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 listing the required arguments and noting that redirect_uri should match the one used in setup_spotify_oauth. This gives some guidance on when to use it (after setup, with the authorization code from the callback). However, it doesn't explicitly state when not to use it or mention alternatives like refresh_spotify_token for token renewal.

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 only says the tool completes authentication and returns status, without revealing side effects such as token persistence, whether it overwrites existing credentials, or what happens on failure. This is a significant gap for a state-changing OAuth step.

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 compact and front-loaded with its purpose, followed by a structured Args/Returns listing. The Args section repeats parameter names already in the schema, but since the schema has no descriptions, this repetition is arguably useful rather than wasteful. No extraneous 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?

This tool sits inside a multi-step OAuth flow and has no annotations or schema descriptions. The description mentions the prerequisite device_code from setup_youtube_oauth but omits critical context: whether user interaction is needed, how credentials are stored, how this relates to refresh_youtube_token, and what '认证完成状态' means beyond a generic status. The existing output schema helps but does not fill these workflow gaps.

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 for the bare schema. It gives one-line meanings for all three parameters and usefully specifies that device_code is obtained from setup_youtube_oauth. Yet it does not explain how to source client_id/client_secret or validate formats, so the added value is adequate but not thorough.

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 clear action and resource: '完成YouTube OAuth2认证（获取令牌）' (complete YouTube OAuth2 authentication and obtain a token). It also references device_code from setup_youtube_oauth, which helps distinguish it from the setup step. However, it does not explicitly contrast itself with refresh_youtube_token or other auth-related siblings.

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 clearly implies when to use the tool by noting that device_code comes from setup_youtube_oauth, establishing this as the second step in the OAuth flow. It does not, however, provide explicit exclusions or mention that refresh_youtube_token is for a different purpose, so it falls short of a full 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?

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only states the action 'Follow' without explaining side effects, authentication requirements, idempotency, or what happens when an ID is already followed. It does not mention that this is a mutating operation requiring an access token, which is critical context for an agent. The verb itself signals mutation, but little else is disclosed.

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 short and front-loaded with the core purpose, followed by a compact Args section. Every sentence contributes value and there is no filler, 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?

The tool has no output schema and no annotations, so the description needs to be self-sufficient. It covers the main parameters but omits authentication expectations, return/response behavior, and any error or edge-case context. For a state-changing follow operation, this leaves important gaps that an agent would have to guess or infer.

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 description adds concrete meaning for two of the three parameters: 'ids' is explained as a comma-separated list, and follow_type is constrained to 'artist' or 'user'. However, access_token is left undocumented, and the schema has no descriptions, so the token parameter's role and optionality remain unclear. This is partial compensation for a 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 opens with a specific verb and resource: 'Follow artists or users.' It clearly distinguishes this from sibling tools like unfollow_artists_or_users and follow_playlist by naming exactly which entity types are affected. The Args block reinforces the scope by showing the follow_type values.

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: whenever the goal is to follow artists or users. However, it provides no explicit guidance about alternatives, such as using get_followed_artists to list followed artists or unfollow_artists_or_users to reverse the operation. This leaves routing to inference rather than clear instruction.

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 only states the follow action and the effect of the public flag; it does not mention whether authentication is required, whether the operation is idempotent, what side effects occur, or error behavior. For a mutating operation, this is a notable gap.

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 short and to the point, front-loading the action and then listing only the necessary argument explanations. The docstring-style Args block is somewhat unusual but contains no redundant content or filler. It earns its place without being bloated.

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 mutation with no annotations, no output schema, and only partial parameter coverage, the description should at least outline authentication requirements, the returned result, and all parameters. It covers the core action and two parameters but leaves access_token unaddressed and any behavioral side effects unstated, so an agent lacks critical context 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 description coverage is 0%, so the description must compensate. It explains playlist_id as a Spotify playlist ID and public as controlling inclusion in public playlists, which adds meaningful context. However, it completely omits access_token character and does not clarify requiredness or defaults beyond what the schema already shows.

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 specific verb 'Follow' and resource 'playlist', which clearly identifies the action. It differentiates from sibling tools like 'unfollow_playlist' and 'follow_artists_or_users' because the resource and action are explicit. The Args block confirms the Spotify context, leaving no ambiguity about what the tool does.

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 gives no indication of when to use this tool instead of alternatives. It does not mention prerequisites like authentication, nor does it contrast with similar tools such as unfollow_playlist. There is no context about the appropriate scenario for following a playlist, leaving the agent to infer usage from the name alone.

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, the description carries the behavioral disclosure burden. The verb 'Get' implies a read-only operation, which is useful, but the description does not mention whether it performs a live check, whether credentials are required, or what 'status' includes. For a zero-parameter getter, this is acceptable but not rich.

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 with no filler or repetition. It states the action and target resource efficiently, earning its place without 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?

Given the tool has no parameters and an output schema exists, the description is nearly sufficient for invocation. However, it leaves ambiguity about what exactly 'configuration status' contains and does not disambiguate from test_bilibili_credentials, so an agent may need extra inference to select it 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?

The tool has zero parameters IDs, so there is no parameter semantics burden. The description correctly focuses on the resource being queried, and the input schema is fully documented due to having no 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?

The description clearly identifies a getter for Bilibili API configuration status, using a specific verb and resource. It is not a tautology and is distinguishable from other platform config getters by naming Bilibili, though 'configuration status' remains somewhat broad.

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 implied: an agent should call this when it needs Bilibili API configuration status. However, the description does not explicitly distinguish this from closely related sibling tools such as test_bilibili_credentials, nor does it state when not to use it.

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?

No annotations are provided, so the description carries the full behavioral disclosure burden. It explains the default behavior when uid is omitted and the login requirement, which is valuable. However, it does not disclose whether other users' favorites require authentication, how pagination behaves, or what happens if no favorites exist.

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 compact and front-loaded with the core purpose, followed by a short Args section. Every sentence earns its place and there is no 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?

For a two-parameter getter, the description covers purpose, parameter behavior, defaults, and an auth caveat. An output schema exists for return details, so not describing in depth the response format is acceptable. Minor gaps remain around auth for public users and pagination size.

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%, but the description fully compensates for both parameters: uid's meaning and ownership behavior, and page's default, are explained. It adds genuine semantics beyond the bare schema types and defaults.

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 action ('Get') and a specific resource ('Bilibili user's favorite folders and videos'), clearly distinguishing it from sibling tools like get_bilibili_user_info or get_bilibili_following_list. The object of the operation 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?

The description gives practical context: if uid is not provided, it returns your own favorites and requires login. This helps the agent decide when to set uid versus omit it—but it does not explicitly mention alternatives or when not to use this tool.

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?

There are no annotations, so the description carries the behavioral disclosure burden. It transparently notes the 'requires login' condition for the self-following case and documents the page parameter. However, it does not discuss authentication for other-user lookups, rate limits, or side effects, leaving some behavioral gaps for an unannotated tool.

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 compact and front-loaded with the purpose statement, followed by a short, readable Args block. Every sentence adds information about usage or parameters, with no filler or repetition of schema 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?

With only two simple optional parameters and an output schema present, the description is largely complete for invocation. It covers the tool's purpose, the meaning of both parameters, and the key auth caveat for self-lookup. It does not mention edge cases like invalid uids or pagination limits, but these are not critical for a simple read-only listing 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%, and the description compensates by explaining both parameters: uid is 'User ID' with the self-lookup behavior, and page is 'Page number (default: 1).' The uid semantics go beyond the schema's bare type and default; the page explanation is minimal but adequate.

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?

Description states a specific verb and resource: 'Get Bilibili user's following list.' It is clear about what the tool does and is differentiated from sibling tools like get_bilibili_favorites or get_bilibili_user_videos by naming the 'following list' resource. However, it does not explicitly contrast itself with any sibling tool, so it stops short of full differentiation.

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 gives usage context by explaining that omitting uid returns your own following list and requires login. It does not explicitly state when to use this tool versus alternatives or provide exclusion criteria, but the login caveat and parameter behavior imply the main usage pattern.

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. It discloses the login requirement, which is a key behavioral trait, but says nothing about error behavior, rate limits, or side effects. Since it's a read-only getter, this is acceptable but minimal.

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, concise sentence that front-loads the action and resource and includes the login requirement. 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 getter with an output schema, the description is sufficiently complete. It states the purpose and the login prerequisite. It doesn't mention when to use it, but that is largely self-evident from the name and purpose.

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 schema coverage is 100% (trivially). There is nothing for the description to add about parameters, so the baseline of 4 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 action 'Get' and the resource 'your Bilibili to view list' with a Chinese gloss. It distinguishes from sibling tools like watch history or favorites by naming the specific list, though it does not explicitly contrast with any sibling.

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 mentions 'requires login' as a precondition, which is useful context, but provides no guidance on when to use this tool versus alternatives like get_bilibili_watch_history or get_bilibili_favorites. Usage is implied by the name but not explicitly stated.

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 must fully disclose behavioral traits. It only repeats the name's implication (getting info) and adds nothing about permissions, rate limits, read-only status, or error handling. It essentially restates the tool's name without additional context, which is inadequate for a definition with no annotation support.

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 short and points directly to the action, with a structured 'Args:' section. It has no filler. However, it is so brief that it lacks informative content, so it is concise but not optimized for utility; the efficient format earns a 4.

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 existence of an output schema, return values are covered, but the description omits critical usage context: whether authentication is needed, whether the uid refers to arbitrary users, and how it differs from sibling tools like get_my_bilibili_profile. For a tool with many similar siblings and no annotations, this is incomplete.

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 only provides a title 'Uid' with no description, while the description explains 'uid: Bilibili user ID (UID),' which clarifies the parameter's meaning. This is helpful but minimal—it does not specify format constraints or how to obtain a UID. Since schema coverage is 0%, the description partially compensates but could be more detailed.

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 clear verb and resource: 'Get Bilibili user profile information.' It is not a tautology and clearly indicates the action and target. However, it does not explicitly differentiate from siblings like get_my_bilibili_profile or get_bilibili_user_videos, which also involve user data, so it falls short of a 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention that it fetches any user's profile by uid, whereas get_my_bilibili_profile might be for the authenticated user, nor does it state any prerequisites or exclusions. An agent must infer usage from the parameter alone.

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?

No annotations are provided, so the description carries the full burden. It discloses the operation (get) and pagination via page parameter, but doesn't mention rate limits, authentication requirements, whether the result is ordered, or what happens with invalid/private uids. For a read tool with no annotations, this is a minimal but not rich disclosure.

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 short and front-loaded with the core purpose. The Args section is redundant with the schema but not harmful. Every sentence earns its place, though the parameter restatements could be trimmed.

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 are covered. The tool is a simple paginated list with 2 params. However, with no annotations and no mention of pagination size, ordering, or error behavior, the description is adequate but not complete. It's a minimum viable definition for a simple read 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%, so the description must compensate. It restates 'uid: User ID' and 'page: Page number (default: 1)', which adds almost nothing beyond the schema's type/default. It doesn't explain what page means (e.g., page size, 1-indexed) or any constraints on uid. The description fails to add meaningful semantics.

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: 'Get videos uploaded by a Bilibili user.' This clearly distinguishes it from sibling tools like get_bilibili_video_info (single video) and search_bilibili_videos (search). It doesn't explicitly name a sibling, but the resource and scope are clear.

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: call it when you need a user's uploaded videos, given a uid. It doesn't explicitly state when not to use it or name alternatives like search_bilibili_videos or get_bilibili_video_info. The context is clear enough for an agent to infer, but no explicit routing guidance is provided.

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?

No annotations are provided, so the description carries the full burden. It only says 'Get,' which implies a read operation, but it doesn't disclose authentication requirements, rate limits, or potential side effects. The description could be more explicit that this is a safe read-only operation, especially in the context of a Bilibili integration with many auth-related siblings.

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 brief and front-loaded with the purpose. The Args block adds a little detail but is somewhat redundant with the schema; still, it doesn't waste much space. The overall structure is efficient.

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 tool is simple (one parameter) and has an output schema, so return format is covered elsewhere. The description is adequate for basic invocation but omits usage boundaries and auth context, which would be helpful given the many sibling tools and the lack of annotations.

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, so the description must compensate. It provides 'bvid: Bilibili video ID (BVID),' which clarifies that the parameter is a Bilibili video ID and adds meaning beyond the raw property name. However, it doesn't give format examples or constraints, so it only partially compensates.

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 'Get detailed information about a Bilibili video,' which is a specific verb and resource. It clearly identifies the platform (Bilibili) and what action it performs, distinguishing it from sibling tools like search_bilibili_videos or get_bilibili_user_videos even without naming 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?

The description implies use when you have a bvid and need detailed video information, but it doesn't explicitly state when to use this tool over alternatives, nor does it provide exclusions or prerequisites. There's no mention of searching vs. fetching a specific video, which 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.

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states the login requirement. It does not disclose pagination behavior, page size, ordering, possible auth-failure behavior, or whether the response is limited to a particular time range.

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 short and front-loads the core purpose in one sentence. The Args block is slightly redundant with the schema but not bloated; 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?

For a one-parameter read tool with an output schema, the description covers the essential usage point (login) and the parameter. Still, with no annotations and no mention of pagination limits or failure modes, it is not fully 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 coverage is 0%, so the description must explain the parameter. It does define 'page' as a page number with default 1, but this adds little beyond the schema's own type and default. It does not clarify 1-based indexing, page size, or valid range.

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 resource ('your Bilibili watch history') and a specific action ('Get'), with an explicit login requirement. This clearly differentiates it from sibling Bilibili tools like get_bilibili_favorites and get_bilibili_toview_list.

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 gives a clear prerequisite: the tool requires login. However, it does not explain when to prefer this tool over other Bilibili getters, nor does it mention exclusions or alternative tools for similar 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Get information,' implying a read operation, but does not state whether auth is required, rate limits apply, or what side effects (none expected) occur. It does not even mention that the call is read-only explicitly.

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 with no wasted words. However, it is under-specified to the point of being only barely more informative than the tool name, so the conciseness is not effectively serving the agent.

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?

Even though an output schema exists, the description is too thin for a tool that likely depends on OAuth (given siblings like get_youtube_token_status) and a channel identifier. It does not mention prerequisites, how to find the channel_id, or any constraints, leaving the agent under-informed for a 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?

The schema has zero description coverage for channel_id, and the description adds no parameter meaning. It does not explain what channel_id should be (e.g., a YouTube channel ID vs. handle), how to obtain it, or any expected format. With 0% coverage, the description was expected to compensate but does not.

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 a specific verb ('Get') and resource ('YouTube channel'), clearly stating the tool's function. However, it does not explicitly distinguish it from sibling tools like get_video_details or get_youtube_subscriptions, though the resource type is inherently distinct.

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?

There is no guidance on when to use this tool versus alternatives, no mention of prerequisites such as OAuth authentication, and no indication of what situations call for this compared to other 'get_*' tools. The agent must guess when to invoke it.

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?

No annotations are present, so the description bears the full burden of behavioral disclosure. It only states a read-like action and does not mention authentication requirements, token handling, pagination, rate limits, or possible errors. The access_token parameter hints at auth but the description does not explain what happens when it is omitted.

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 short and front-loaded with the core operation, followed by a compact Args list. Every sentence earns its place and there is no redundant repetition of the schema. The docstring structure is 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 two-parameter getter with an output schema, this is minimally adequate: the operation and parameters are covered. However, it is missing usage differentiation and any behavioral context such as auth requirements or what 'contributor permissions' means in Reddit. The output schema reduces the need to describe returns, but the overall context is still thin.

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%, and the description compensates by explaining access_token as optional and specifying limit's valid range and default (1-100, default 100). This adds real meaning beyond the schema's bare type/title declarations. It could go further by clarifying what the access token is used for or what happens without one, but the provided semantics are clear.

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 operation — retrieving subreddits where the user has contributor permissions — which identifies both the resource and the permission scope. It is clear and distinct from siblings like get_user_subreddits and get_moderated_subreddits, though it never explicitly names those alternatives. A specific verb (Get) plus the contributor-permission qualifier makes 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 gives no explicit guidance about when to choose this tool over sibling Reddit tools such as get_user_subreddits or get_moderated_subreddits. The contributor-permission wording implies it is for contributor data, but there are no exclusions, prerequisites, or alternative tool mentions. An agent must infer the intended use case from the name and description alone.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states a simple read operation without mentioning pagination (limit/offset), authentication requirements (access_token), or any side effects. While not misleading, it lacks any depth about behavior beyond the obvious.

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 brief (one short sentence), but this is under-specification rather than effective conciseness. It omits critical information about parameters and usage. While it is not verbose, it does not earn its place as a helpful definition.

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 three parameters, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine what limit/offset control, why access_token is needed, or what the response will look like. The tool definition is far from complete for a practical use case.

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%, and the description does not explain any of the three parameters (limit, offset, access_token). The schema only provides defaults and types, not their meaning or usage. The description fails to compensate for the lack of schema documentation, leaving agents to guess parameter semantics.

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 action (Get) and resource (current user's playlists). It is specific enough to understand the tool's function. However, it does not differentiate from the sibling tool 'get_user_playlists', which likely has a similar purpose but for a different user or context. This ambiguity prevents a score of 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?

The description provides no guidance on when to use this tool versus alternatives like 'get_user_playlists' or 'get_playlist_items'. There are no conditions, exclusions, or mention of prerequisites. An agent would have to infer usage from the name alone.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the tool retrieves profile information but does not mention authentication requirements, what fields are returned, potential errors, or any side effects. The description is too sparse to convey expected 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?

The description is a single sentence, which is concise and free of fluff. However, its brevity is not an advantage here because it omits essential information. The structure is minimal but not poorly organized; it simply lacks 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?

With no output schema, the description should at least indicate what kind of profile information is returned (e.g., name, email, playlists). It does not. It also fails to clarify the scope of 'current user' or the authentication context. For a simple tool, this is incomplete.

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 one parameter (access_token) with 0% description coverage. The description does not mention this parameter at all, leaving the agent to infer its purpose from the schema alone. Since the schema is minimal, the description should have explained the token's role but does not.

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 retrieves the current user's Spotify profile. It uses a specific verb ('Get') and resource ('current user's Spotify profile information'). However, it does not explicitly differentiate from the sibling 'get_user_profile', which could cause ambiguity about whether this is for the authenticated user vs another user.

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 like 'get_user_profile' or other Spotify tools. There is no mention of prerequisites, context, or when not to use it. The user is left to infer usage from the name and 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?

No annotations are provided, so the description must fully disclose behavioral traits. It only states the operation is a retrieval ('Get') and does not mention authentication requirements, rate limits, potential error conditions, or what happens if the user has no downvoted content. The description adds minimal value beyond what the name already implies.

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 compact and well-organized, using a clear docstring format with an Args section. It avoids unnecessary words and front-loads the core purpose. Slight redundancy exists (the title and first line are similar), but overall it is efficient.

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 operation with an output schema present, the description covers the essential purpose and parameters. However, it omits important context such as authentication prerequisites (despite the access_token parameter) and does not mention error handling or edge cases (e.g., empty results). Given the lack of annotations, this is a moderate 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%, so the description fully compensates by explaining each parameter: username (optional, defaults to current user), access_token (optional), and limit (1-100, default 100). This clarifies semantics that the schema alone does not convey, such as the range and default for limit.

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 ('Get') and a clear resource ('user's downvoted posts'), which unambiguously distinguishes it from sibling tools like get_upvoted_content, get_saved_content, and get_hidden_posts. The phrasing is direct and leaves no doubt about the tool's purpose.

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 indicates the tool retrieves downvoted posts and mentions that the username defaults to the current user, which gives context for invocation. However, it does not provide explicit guidance on when to use this tool versus alternatives (e.g., when to use get_upvoted_content) or any exclusions or prerequisites, such as the need for authentication.

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?

The description only says 'Get', implying a read operation, but does not disclose that it requires an access token, that the result is scoped to the authenticated user, or what the response shape is. With no annotations provided, the description carries the full burden and fails to provide behavioral context beyond the obvious.

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 short sentence, extremely front-loaded and free of clutter. It is not verbose, though it borders on under-specification; for a simple getter, this level of conciseness is acceptable, even if other dimensions penalize the lack of detail.

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 no annotations and no output schema, the description leaves essential context undocumented: authentication requirements, pagination behavior via 'limit', scoping to the current user, and the format of returned artists. This is insufficient for an agent to invoke the tool confidently without external knowledge.

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% and the description does not explain the 'limit' or 'access_token' parameters. The input schema only provides names, types, and defaults, leaving the agent to guess whether 'limit' caps the result count and whether 'access_token' is the Spotify OAuth token, so the description adds no parameter information.

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 'Get' and the resource 'user's followed artists', making the primary function clear. It is distinct from sibling tools like 'get_user_saved_tracks' or 'get_youtube_subscriptions' because it names a different resource and action, though it does not clarify whether 'user' refers to the authenticated user or a specified one.

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 is given about when to use this tool versus alternatives such as 'get_user_top_items' or 'follow_artists_or_users'. There are no prerequisites, authentication caveats, or context that would help an agent decide between this and similar retrieval tools.

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?

No annotations are provided, so the description carries the full behavioral disclosure burden. It only restates the high-level purpose and does not mention read-only nature, authentication expectations, dependencies on the current user's library, or behavior when there are no recommendations.

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 compact and front-loaded: one sentence defines the core behavior ROCKS and one line documents the parameter. No filler or redundant restatement of the schema exists.

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 one-parameter tool with an output schema, the description covers the core behavior and input role adequately. However, it omits any context about prerequisites, alternatives, or edge cases, leaving an agent without guidance on related tools or failure conditions.

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%, but the description compensates with an Args line that explains friend_steamid as the Steam ID of the friend whose library drives recommendations. This is sufficient for a single required parameter.

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 operation, getting game recommendations, and the distinguishing logic: based on what a friend owns but the user does not. It distinguishes itself semantically from siblings like compare_games_with_friend, though it does not explicitly name or rule out any sibling.

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 intended context is implied: use when you want game suggestions derived from a friend's library relative to your own. It does not explicitly state when not to use it, mention alternatives, or clarify how it differs from other Steam comparison tools.

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?

No annotations are provided, so the description carries all responsibility for behavioral disclosure. It states a read operation ('Get') but does not mention authentication requirements, rate limits, whether it requires a prior friend list, or any edge cases (e.g., private profiles). An agent gets no warnings or conditions beyond the bare action.

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, concise sentence that is front-loaded with the verb and resource. Every word contributes meaning; there is no wasteful filler. It is appropriately sized for such 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?

While the output schema covers return format, the description omits practical context such as dependencies on other tools (e.g., get_steam_friends) or authentication state. There are no parameters, but an agent would benefit from knowing that this tool only works when a Steam connection is established. Given the absence of annotations and the presence of a sibling ecosystem, the description is incomplete for a fully informed call.

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?

There are zero parameters, and the schema covers 100% (trivially), so the description does not need to compensate for missing parameter information. The baseline for zero-parameter tools is 4, and the description does not add conflicting details. No parameter explanations are necessary.

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 purpose: 'Get what games your Steam friends are currently playing.' It uses a specific verb (Get) and resource (games your Steam friends are currently playing), and it differentiates itself from sibling tools like get_steam_friends (which returns friends) and get_steam_library (which returns your own library).

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. It doesn't mention prerequisites (e.g., needing a Steam friend list or authentication) or exclude any scenarios. An agent must infer usage context from the name and description alone, which is insufficient for selecting among many similar Steam tools.

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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states that this is a getter and describes parameters; it does not disclose authentication expectations, side effects, rate limits, or how 'current user' is resolved. This is thin for a tool that may access private user data.

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 tight and front-loaded with the tool's core purpose, followed by a compact parameter list. Every sentence provides useful information with no filler or repetition.

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 retrieval tool with an output schema, the description is mostly adequate. However, it leaves ambiguity about authentication context—how 'current user' is determined and whether hidden posts require an access token—which an agent needs to know to call it reliably.

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%, but the description compensates fully by explaining all three parameters: username's default-to-current-user behavior, access_token's optionality, and limit's range and default. This adds meaning well beyond the bare schema definitions.

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 verb 'Get' plus the resource 'user's hidden posts' clearly states the operation and target. It does not explicitly distinguish itself from sibling tools like get_saved_content or get_user_submitted_posts, but 'hidden posts' is a distinct enough resource that the core purpose is clear.

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 gives some usage context by noting that username defaults to the current user and access_token is optional, but it provides no guidance on when to use this tool versus alternatives. There are no exclusions, prerequisites, or pointers to sibling tools for related functionality.

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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It only mentions the scope requirement and does not state that this is a read-only operation, describe authentication behavior when no token is provided, or disclose rate limits or pagination details. The 'get' verb implies non-mutation but is not explicit.

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 short and front-loads the core purpose immediately. The Args section is brief and adds necessary parameter details without unnecessary filler. It earns its place while remaining compact.

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 tool with an output schema and two parameters, the description covers the basics. However, it omits the distinction between 'inbox messages' and the sibling get_unread_messages/get_sent_messages, and does not clarify whether an absent access_token falls back to stored credentials. These gaps matter for correct tool selection and 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?

The description adds meaningful value beyond the bare schema: it specifies that access_token is optional and that limit must be in the 1–100 range with a default of 100. The schema only shows type and default, so these constraints are genuinely helpful for correct 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?

The description uses a specific verb-resource pair ('Get user's inbox messages') which clearly conveys the action. However, it does not distinguish from sibling tools like get_unread_messages or get_sent_messages, leaving an agent to guess whether this returns all inbox messages or only some subset.

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 usage guidance is provided beyond stating the required scope. The description does not explain when to choose this over get_unread_messages, get_sent_messages, or other message-related tools, nor does it mention any exclusions or alternative approaches.

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?

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only states that access_token is optional, but does not clarify whether authentication is required, whether the operation is read-only, or what happens if no token is provided. It also does not mention rate limits or any side effects. This is a significant gap for a tool that likely requires OAuth.

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 concise, with the purpose front-loaded and parameter details in a structured list. It is not verbose and every sentence earns its place. The format is slightly unconventional (code-style block) but remains efficient.

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 tool is a simple retrieval, and the output schema exists so return-value documentation is not required. However, given no annotations, the description should explicitly note that authentication may be required (even if token is optional) and ideally differentiate it from similar tools. These gaps leave the agent with some uncertainty about preconditions.

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 description includes an 'Args' section that explains both parameters: access_token is optional, and limit has a range (1-100) and default (100). This adds value beyond the bare schema, which only provides types and defaults. Since schema coverage is 0%, this compensation is important and largely sufficient.

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 action: get subreddits where the user is a moderator. This distinguishes it from sibling tools like get_user_subreddits (subscriptions) and get_contributor_subreddits (contributions). The verb 'get' and resource 'moderated subreddits' 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 no guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or explicitly point to sibling tools that might be more appropriate for related queries. The purpose is clear, but the agent receives no direction on selection among the many similar retrieval tools.

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?

No annotations are present, so the description carries the behavioral disclosure burden. It mentions 'requires login', which is useful, and the 'Get' verb implies a read-only operation. However, it does not describe what happens on missing/invalid auth, rate limits, or any other behavioral edge cases. Minimal but not misleading.

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, 11-word sentence that front-loads the resource and scope, then adds the login requirement. Every word earns its place; there is no fluff or 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?

Given zero parameters, an output schema, and a low-complexity operation, the description is largely sufficient. It covers the essential purpose and auth requirement. It could be slightly more complete by explicitly pointing to a sibling for other users' profiles, but nothing critical 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?

The tool has zero parameters and schema description coverage is 100%. Per rubric, zero parameters baselines at 4. The description adds no parameter-level detail because none is needed; there is nothing to document.

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?

Description states a specific verb ('Get'), resource ('Bilibili profile information'), and scope ('your own'), clearly distinguishing it from siblings like get_bilibili_user_info which likely fetch other users' info. The 'your own' qualifier makes the tool's 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 notes that login is required, which gives some context, but it does not explicitly compare this tool to alternatives or state when to use it versus get_bilibili_user_info. Usage is largely implied by the 'my' in the name and the self-profile phrasing, but no explicit routing or exclusion is provided.

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 implies a read-only status check via 'Get' but does not mention authentication requirements, response contents, or potential side effects, leaving the agent without meaningful behavioral expectations.

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 with no wasted words. It is appropriately concise for a zero-argument tool, though it could add a brief context clause without becoming verbose.

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, zero-parameter status tool with an output schema, the description conveys the essential purpose. However, it leaves 'personalization server' undefined and provides no hint of typical usage context or prerequisites, making it slightly incomplete.

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?

There are zero parameters, so the empty schema fully defines the interface. The description adds no parameter-level meaning, but none is needed because there is nothing to configure.

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: getting the status of the personalization server. The word 'overall' and 'server' help distinguish it from platform-specific status tools like get_youtube_token_status, though it doesn't explicitly name alternatives.

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 is provided on when to use this tool versus sibling status tools, when not to use it, or what conditions warrant a call. It only restates the action without any contextual direction.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention whether this is a read-only operation, whether it requires prior authentication, any rate limits, or what happens if the game/app_id is invalid. It only states the action without any caveats or side effects.

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, concise sentence that is front-loaded with the action and target. It is not verbose, but it sacrifices necessary detail for brevity. No structure issues, but it could be expanded slightly without losing conciseness.

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 existence of an output schema, the return format is covered, but the description fails to clarify whose achievements are being fetched, what the app_id refers to, or any constraints. For a tool with a single parameter, this is incomplete—an agent would likely need to guess the intended user scope. There is also no mention of related tools or typical use cases.

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?

With 0% schema description coverage, the description must compensate for the single parameter app_id. It implies that app_id identifies the game, but does not specify its format (e.g., Steam App ID), how to obtain it, or whether it is required. The description adds minimal meaning beyond the parameter name itself.

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 clear action ('Get player achievements') and identifies the resource ('a specific game'), but it does not specify whose achievements are retrieved (e.g., the authenticated user vs. a specified player). This ambiguity makes it hard to distinguish from sibling tools like get_user_game_stats or get_player_summary, which could also return achievement-like data.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention prerequisites, authentication requirements, or scenarios where a different sibling tool would be more appropriate. The agent is left to infer usage entirely from the name and vague 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 are not provided, so the description carries the full burden of behavioral disclosure. It does not state whether this tool requires authentication, whether it is read-only, or what happens if the steamids parameter is invalid. The mention of defaulting to your own Steam ID is useful, but the lack of safety or error behavior disclosure is a gap.

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 concise with a single sentence plus an Args section. The main purpose is front-loaded, and the optional parameter detail is efficiently placed. No fluff or unnecessary repetition, though the Args section could be integrated more naturally.

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 tool has an output schema, so return values are covered. Given the tool's simplicity (one optional parameter) and the existence of an output schema, the description is relatively complete. However, it lacks guidance on edge cases like multiple IDs, invalid IDs, or rate limits, and it doesn't mention authentication requirements.

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%, but the description explains that steamids is an optional comma-separated list and that omitting it uses your own Steam ID. This adds meaning beyond the schema's bare 'string' type. However, it doesn't clarify format expectations (e.g., numeric ID vs SteamID64) or limits, so it partially compensates.

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 verb 'Get' and the resource 'detailed player profile information', and lists the included fields (status, avatar, location). This is clear and specific enough to distinguish it from sibling tools like get_steam_profile, which likely focuses on basic profile data. However, it doesn't explicitly differentiate from get_user_profile or get_current_user_profile, which may overlap.

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 by stating it gets player profile information and that it can use your own Steam ID if not provided. However, it does not explicitly state when to use this tool over alternatives like get_steam_profile or get_user_profile, nor does it mention any exclusions or conditions.

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?

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only says 'Get items' implying a read operation, but omits authentication requirements (access_token), response format, pagination behavior (limit/offset), or any rate 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?

The description is a single concise sentence with no wasted words, effectively front-loading the core purpose. However, it is under-specified, which slightly reduces the value of its brevity.

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 has 4 parameters, no output schema, and no annotations, the description is far from complete. It doesn't cover pagination, authentication, response structure, or any nuances of playlist item retrieval, leaving an agent with insufficient information to call it 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 0% because the description mentions no parameters. The schema defines playlist_id, limit, offset, and access_token, but the description adds no meaning to these. For example, it doesn't explain that limit/offset control pagination or that access_token is needed for authentication.

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 action (Get) and the resource (items in a playlist), and clarifies the item types (tracks/episodes). It distinguishes from sibling tools that fetch playlists or user-level data, though it doesn't explicitly name alternatives.

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 tool versus alternatives. It doesn't mention prerequisites like needing a playlist_id from a prior call, nor any context about when this is the right tool (e.g., for listing contents of a specific playlist).

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, the description carries the full behavioral burden. 'Get' implies a read-only status check with no side effects, which is minimally transparent, but the description does not disclose whether credentials must already exist, whether it makes network calls, or what happens when Reddit is not configured.

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 with no filler words, making it easy to parse. It is somewhat too terse given the unexplained parameter and missing usage context, but as conciseness it is effective.

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?

Although an output schema exists, the description lacks annotation context and does not explain what 'configuration status' means, when to use it, or how it relates to sibling tools like get_reddit_token_status or test_reddit_credentials. The unexplained random_string parameter further reduces completeness.

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%, and the sole parameter 'random_string' has no schema description. The tool description does not mention or explain this parameter at all, leaving an agent unable to know why it exists or whether it affects the call.

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 ('Get'), a resource ('Reddit API configuration status'), and distinguishes the tool from siblings like get_reddit_token_status and get_reddit_config for other platforms. However, 'configuration status' remains somewhat vague—it doesn't state what aspects of the configuration are reported.

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 is provided about when to call this tool versus alternatives such as test_reddit_credentials, setup_reddit_oauth, or get_reddit_token_status. The description gives no context about prerequisites, ordering, or conditions under which this tool should be preferred.

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?

No annotations are provided, so the description carries the full burden. It only says 'Get... status information', which vaguely implies a read operation, but it does not state whether the call has side effects, what happens if the token is missing/expired, or whether it may trigger a refresh. The single vague clause does not meaningfully disclose 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?

The text is short and free of fluff, but it is under-specified rather than genuinely concise. The sentence merely restates the name and adds no useful detail, so it does not 'earn its place' as a helpful explanation.

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 no annotations, a mysterious dummy-like parameter, and a sibling set full of token-related operations (test, refresh, auto_refresh), the one-line description is far from complete. It does not explain what the output status indicates, how to react to it, or how it relates to adjacent tools.

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 includes a 'random_string' parameter with a default of '' and no description. Schema description coverage is 0%, and the description completely ignores this parameter, leaving the agent unable to know whether it is required, what it does, or how to set it. The description must compensate when the schema is empty, but it does not.

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?

Description 'Get Reddit token status information.' essentially restates the tool name without clarifying what 'token status' means (validity, expiry, scopes, etc.). It also does not differentiate from closely related siblings like test_reddit_credentials or refresh_reddit_token, so an agent cannot confidently select this tool over others.

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?

There is no guidance about when to use this tool versus alternatives. The description gives no context such as 'use after OAuth setup to verify token validity' or exclusions like 'use refresh_reddit_token to renew expired tokens'. This leaves the agent without direction.

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 does not mention authentication requirements, read-only nature, rate limits, or any side effects. The description only restates the action without adding behavioral context beyond the purpose.

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 concise and well-structured. The main action is front-loaded, and the parameter list is clearly formatted with explanations. There is no unnecessary verbiage, making it efficient for an agent 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?

The tool has an output schema, so return format is covered. All parameters are explained. However, it lacks authentication context (e.g., whether a token is required for private saved content) and does not mention the platform (Reddit, inferred from siblings). For a read operation with no annotations, this is a moderate 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%, so the description must compensate. It explains all three parameters: username (optional, defaults to current user), access_token (optional), and limit (1-100, default 100). This adds meaning beyond the schema, though the access_token explanation is minimal and does not clarify its role.

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 verb 'Get' and the resource 'user's saved posts and comments', which distinguishes it from sibling tools like get_user_submitted_posts and get_user_comments. The specificity leaves no ambiguity about what content is retrieved.

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 usage is implied by the name and description (for retrieving saved content), but there is no explicit guidance on when to use this tool versus alternatives, nor any exclusions or alternative tool suggestions. The agent must infer from context.

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. It discloses the auth requirement (privatemessages scope) and the read-only nature through the verb 'Get.' It does not mention rate limits or explicit no-side-effect statements, but for a simple retrieval tool this is adequate and adds meaningful context beyond 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?

The purpose is front-loaded in the first sentence, followed by a compact Args block that covers both parameters with no filler. 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?

For a two-parameter read tool with an output schema, the description covers purpose, auth, and parameters sufficiently. The only missing piece is explicit guidance on when to choose this over sibling message tools, which is not essential for correctness.

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, but the description fully compensates by documenting both parameters: access_token is marked optional, and limit is given a range (1-100) and default (100). This adds meaning far beyond the bare schema fields.

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 user's sent messages,' a specific verb and resource that clearly distinguishes this tool from siblings like get_inbox_messages and get_unread_messages. It also adds the required privatemessages scope, which is directly relevant to correct invocation.

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 scope requirement ('requires privatemessages scope') gives a necessary prerequisite, and the resource name implies when to use it versus alternative message tools. However, it never explicitly names any alternative or states when not to use this tool, leaving the distinction 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?

With no annotations, the description carries the burden of behavioral disclosure. 'Get' implies a read-only operation, which is transparent about side effects, but it doesn't mention whether the call requires authentication, what 'configuration status' includes, or whether it's safe to invoke at any time. The description adds minimal value beyond the implied read-only nature.

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 with zero waste. It gets straight to the point and is appropriately sized for a zero-parameter getter.

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 output schema exists (though not shown in the definition), so return-value documentation is covered elsewhere. However, the description doesn't clarify what constitutes 'configuration status' beyond the tool name, nor does it hint at whether this is a quick check or a detailed report. For a simple getter with no params, it's adequately complete, but could benefit from one sentence clarifying the scope versus sibling tools.

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 the schema has 100% coverage (empty object). Per the rubric, a baseline of 4 is appropriate when no parameters need explanation. The description provides no parameter semantics, but none are needed.

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 clear verb and resource ('Get Spotify API configuration status'), but the term 'configuration status' is generic and doesn't distinguish this from sibling get_spotify_token_status, which is more specific. It's clear enough for a simple getter, but lacks the precision to route an agent to the right tool among many similar get_* 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 gives no guidance on when to use this tool versus alternatives like get_spotify_token_status or test_spotify_credentials. There is no mention of use cases, prerequisites, or exclusions, leaving the agent to guess which status-related getter is appropriate.

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?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only says 'Get', which implies a read operation, but does not explicitly state that it is non-destructive, requires an existing stored token, or makes a network call. It also doesn't describe what happens when no token exists.

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 clear sentence with no unnecessary words, front-loaded with the verb and resource. It is concise, though it could add a bit more context about what 'status' includes without becoming verbose.

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 no output schema, the description should at least indicate the kind of status information returned (e.g., connected, expiry, scopes). It also doesn't say whether a token must already exist. The tool is simple, but the description leaves the agent guessing about the response shape and preconditions.

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?

There are zero parameters, so there is nothing to document. The baseline of 4 applies because no parameter information is missing; the description adds the purpose but doesn't need to cover parameter semantics.

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 'Get' and resource 'Spotify token status', and the 'Spotify' qualifier clearly differentiates it from sibling tools like get_youtube_token_status and get_reddit_token_status. However, 'status information' is vague about what specific fields are returned, so it is clear but not fully specific.

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 description of when to use this tool versus sibling tools such as test_spotify_credentials, refresh_spotify_token, or get_spotify_config. The agent is given no guidance on selection criteria or conditions that would make this tool appropriate.

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, the description itself must convey behavior. 'Get ... status' implies a read-only, non-mutating operation, and the zero-parameter schema plus output schema cover much of the remaining risk. However, it does not say whether this performs a live connectivity check, reads cached configuration, or requires prior OAuth setup.

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 no redundant words or structure overhead. It is efficient, though it could have used an extra clause to clarify the status semantics without becoming verbose.

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 no-arg getter with an output schema, this is minimally viable. The main gap is the missing comparison to test_steam_credentials and the lack of detail on what 'configuration status' actually reports, which an agent would want before invoking it.

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?

There are zero parameters, so per the baseline the description does not need to add parameter-level semantics. It correctly implies the tool takes no input.

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 a specific verb ('Get') and a clear resource ('Steam API configuration status'), so an agent can tell this is a read-only status query for Steam. It does not explicitly contrast with test_steam_credentials, but the domain and action are 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?

There is no guidance on when to call this tool versus test_steam_credentials or the configuration/token-status tools for other platforms. The agent has to infer the appropriate use from the tool name alone.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It doesn't mention whether this is a read-only operation, whether it requires authentication, what the response format looks like, or any rate limits. The description is minimal and doesn't disclose behavioral traits beyond the basic action.

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 very concise, with a single sentence plus an Args block. It's front-loaded with the main action and then explains the parameter. No wasted words, though the Args block formatting is a bit unusual for a description but still clear.

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 tool has an output schema (not shown in detail but indicated as present), so return values may be covered there. The description covers the main parameter and the default behavior. However, for a tool with no annotations, it lacks context on authentication requirements, privacy considerations (friends lists can be private), and how it relates to sibling friend-related tools. It's minimally complete but has gaps.

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. It does explain the steamid parameter: 'Optional Steam ID. If not provided, uses your own Steam ID.' This adds meaning beyond the schema, which only says 'default: null'. However, it doesn't specify the format of the Steam ID (e.g., 64-bit SteamID) or how to obtain it, so it's adequate but not comprehensive.

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 retrieves a user's Steam friends list, with a specific verb ('Get') and resource ('Steam friends list'). It distinguishes itself from sibling tools like get_steam_library or get_player_summary by focusing on friends. However, it doesn't explicitly differentiate from get_friends_current_games or compare_games_with_friend, which are also friend-related, so it's clear but not fully differentiated.

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: it's for fetching friends, and the optional steamid parameter suggests it can be used for the caller's own friends or another user's. It doesn't explicitly state when to use this over get_friends_current_games or compare_games_with_friend, nor does it mention any prerequisites like authentication. The guidance is implied 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 disclosure burden, yet it only reveals the default-ID fallback behavior. It says nothing about whether fetching another user's library raises privacy considerations, what 'detailed statistics' actually includes, or what happens when credentials are missing or the steamid is invalid.

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 is front-loaded in the first sentence, and the whole description is two compact sentences plus a one-line Args note. The Args block partially mirrors the schema but earns its place by adding semantic content the schema lacks, so nothing is wasted.

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-optional-parameter tool with an output schema present, the description covers what an agent needs to invoke it correctly: the parameter, its optionality, and the fallback behavior. Return-value details are appropriately delegated to the output schema; the only real gap is sibling-selection guidance, already captured under usage_guidelines.

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 does: it states that steamid is optional and explains the fallback to the caller's own ID. This adds genuine meaning beyond the bare 'string with default null' schema, though it stops short of specifying the expected ID format.

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 ('Get user's Steam game library') with a payload qualifier ('with detailed statistics'), making it identifiable among Steam siblings like get_steam_friends, get_steam_profile, and get_player_achievements. It does not explicitly contrast it with get_user_game_stats, whose 'statistics' scope could overlap, but the core purpose 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 is given on when to use this tool versus alternatives such as get_steam_friends, get_player_achievements, or get_user_game_stats. The only usage note ('If not provided, uses your own Steam ID') addresses parameter behavior, not tool selection, so the agent must infer when this 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does add useful context by explaining the default fallback behavior ('If not provided, uses your own Steam ID'), which goes beyond the schema. However, it does not disclose credential requirements, read-only nature, or what the returned profile contains—minor gaps for a simple getter but meaningful since annotations are absent.

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 sentences, front-loaded with the core purpose, followed by a compact parameter explanation. Every sentence earns its place; there is zero filler or 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?

The tool is simple, has an output schema (so return values needn't be described), and one optional parameter that the description covers well. However, it fails to address the ambiguous relationship with get_player_summary, which appears to target the same resource, leaving the agent without enough context to reliably disambiguate among the many Steam sibling tools.

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 does. It explains the single parameter's optionality, type semantics (Steam ID), and the fallback behavior when omitted, which the schema alone (just 'string' with default null) does not convey. This is strong compensation for one parameter, though it stops short of specifying format/validation rules.

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 clear verb and resource ('Get Steam profile information'), so the purpose is unambiguous. However, it does not differentiate from siblings like get_player_summary or get_steam_library, which an agent could plausibly confuse it with. Clear but lacking sibling differentiation puts it at a 4.

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 gives no guidance on when to choose this tool over alternatives such as get_player_summary or get_user_game_stats, nor does it name exclusions or sibling tools. The only usage note is the parameter fallback behavior, which is about invocation, not tool selection. There is essentially no when-to-use 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?

No annotations are provided, so the description carries the full burden. It discloses that steamid is optional and defaults to the user's own ID, which is useful. However, it does not mention what 'recent activity' includes (e.g., playtime, achievements, game launches), whether it requires authentication, or what the response shape is. For a read tool with no annotations, this is a moderate gap.

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 short and front-loaded with the main purpose. The Args section is a bit redundant with the schema but adds the default behavior. No wasted words, though the formatting could be tighter.

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 tool has an output schema, so return values are covered elsewhere. The description covers the main input and default behavior. However, given the large sibling set and no annotations, it would benefit from clarifying what counts as 'recent activity' and how it differs from my_steam_recent_activity. It is adequate but not 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%, so the description must compensate. It does explain the one parameter (steamid) and its optionality/default behavior, which adds meaning beyond the schema's bare type/default. However, it doesn't specify the expected format of the Steam ID (e.g., 64-bit ID string) or any constraints, so the compensation is partial.

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 clear verb and resource: 'Get user's recent Steam gaming activity.' This distinguishes it from sibling tools like get_steam_library or get_player_summary, though it doesn't explicitly name a sibling alternative. The optional steamid parameter is also mentioned, adding specificity.

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: call it to retrieve recent Steam activity, optionally for a specific user via steamid. It does not explicitly state when to use this over siblings like my_steam_recent_activity or get_player_summary, nor does it provide exclusions or alternatives. The context is clear but not 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?

There are no annotations, so the description carries the full behavioral burden. 'Get' implies a read-only retrieval, but the description does not disclose authentication needs, default behavior, pagination, rate limits, or any other behavioral traits an agent would need to know.

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 with no filler. Every word contributes to the core meaning, making it highly scannable and efficient.

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 YouTube API tool with no annotations and no parameter descriptions, the description is too minimal. The output schema exists, so return values are covered, but the definition still omits authentication context, parameter details, and selection context relative to sibling tools.

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 for the two parameters. It adds mild meaning to region_code via 'specific region,' but it says nothing about max_results, value formats, or constraints. This is insufficient for a 2-parameter tool with no schema descriptions.

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 ('Get'), a clear resource ('trending YouTube videos'), and a scope ('for a specific region'). This distinguishes it from siblings like search_youtube_videos or get_video_details without needing to open 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?

The description implies usage when trending videos for a region are needed, but it gives no explicit guidance on when to prefer this tool over alternatives, nor does it mention related tools like search_youtube_videos or authentication prerequisites.

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 behavioral burden. It does add a useful auth prerequisite by mentioning the privatemessages scope, but it does not disclose ordering, pagination behavior, side effects on unread state, or rate limits. For a simple read operation this is adequate but minimal.

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 compact and front-loaded with the core purpose, followed by a brief Args block. There is no filler or redundant information, and each sentence contributes something useful.

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 two-parameter read tool with an output schema, the description covers the core action, required scope, and main parameter constraints. It does not need to describe return values since an output schema exists. The main gap is the missing distinction from get_inbox_messages, but the description is otherwise close to complete 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 description coverage is 0%, so the description must compensate. It does add value by specifying that limit accepts 1-100 with a default of 100 and that access_token is optional. However, access_token's actual role, source, or relationship to stored credentials is not explained, leaving only 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?

The description clearly states the action ('Get user's unread messages') and resource, which makes its purpose evident. It is distinct from sibling tools like get_inbox_messages and get_sent_messages by focusing on unread messages, though it does not explicitly call out those alternatives.

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?

There is no guidance on when to use this tool versus alternatives such as get_inbox_messages or get_sent_messages. The only contextual hint is 'requires privatemessages scope,' but the description does not explain when this tool is preferable or what it excludes.

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, the description carries the full burden. It only states the action and parameters; it does not disclose whether authentication is required, how the 'current user' is determined, whether the operation is read-only (likely but unstated), or any pagination/rate-limit behavior. The description adds no behavioral context beyond the literal action.

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 concise and well-structured, with the main action front-loaded and parameters listed clearly in a compact Args block. There is no extraneous text or repetition, making it efficient for an agent 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?

The tool is a simple getter, and an output schema exists (so return format is covered elsewhere). However, the description omits authentication requirements and how the 'current user' is resolved, which are relevant for correct invocation. The parameter defaults hint at behavior but are not explicitly explained. Overall, adequate but with notable gaps.

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. It does so by explaining each parameter: username (optional, defaults to current user), access_token (optional), and limit (range and default). This adds meaningful semantics beyond the raw schema, though it could elaborate on the relationship between username and access_token or how authentication is established.

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 verb and resource: 'Get user's upvoted posts.' It is distinct from siblings like get_downvoted_content or get_saved_content, though it does not explicitly name the platform (likely Reddit). The purpose is specific and unambiguous enough for an agent to select it.

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 such as get_saved_content, get_hidden_posts, or get_downvoted_content. There is no mention of prerequisites, context, or exclusions. The only usage hints come from parameter names and defaults, which are not enough for an agent to make a deliberate 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?

With no annotations, the description carries the full burden, but it only adds default behavior for username (defaults to current user). It omits authentication requirements, rate limits, failure behavior, and whether this endpoint works for other users or only the authenticated user.

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 concise and front-loaded, with a clear purpose line followed by a structured Args block. Every sentence earns its place and there is no redundant phrasing.

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 four optional parameters and an output schema, the description is minimal. It omits the target platform, authentication prerequisites, and any usage context, making it insufficient for reliable tool selection among many similar sibling tools.

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 compensate. It does explain all four parameters: username (optional, defaults to current user), access_token (optional), limit (1-100, default 100), and sort (new, hot, top, default new). This adds real meaning beyond the schema, though access_token lacks context about when it's needed.

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 ('Get') and resource ('user's comments'), and the parameter list clarifies scope. However, it does not distinguish this tool from siblings like get_user_overview or get_user_submitted_posts, nor does it name the platform (likely Reddit).

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 is provided on when to use this tool versus alternatives. There is no mention of preferred use cases, exclusions, or links to sibling tools, so the agent must infer usage from the name alone.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that detailed statistics are returned, but does not mention authentication requirements, whether it applies to the current authenticated user, what data sources are involved, or any limitations.

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 one short, front-loaded sentence with no filler. Every word contributes to stating the operation and target resource.

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 large sibling context and ambiguous platform, the description is incomplete. It does not specify which user's stats, which platform's game IDs, or what makes these stats 'detailed,' so an agent lacks enough context to confidently select and call this 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%, and the description adds only that the app_id refers to 'a specific game.' It does not clarify the expected ID format, platform, or how it maps to a game, leaving the single required parameter under-specified.

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 a specific verb ('Get') and resource ('detailed user statistics for a specific game'), so an agent understands the basic operation. However, it does not name the platform or user scope, so it does not differentiate clearly from siblings like get_player_achievements or get_steam_recent_activity.

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 is given about when to use this tool versus alternatives. With a large sibling set including several game-related tools, an agent must infer the appropriate context entirely from the name and description.

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