x-twitter

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

No annotations are provided, so the description must disclose behavior, but it reveals nothing about side effects, authentication requirements, output format, or rate limits. 'Billing per call' is a cost metric, not a behavioral trait. The tool could be a read operation, a mutation, or anything else—there is zero transparency.

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 only one line and is not bloated, but it is severely under-specified. It omits critical operation details and uses nearly all words to repeat the tool's name and group. This is not conciseness but underspecification.

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 and no parameter documentation, the description leaves the agent completely in the dark about the tool's data contract and functionality. Given the complexity implied by 5 parameters and many sibling tools, this is grossly 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?

Schema coverage is 0%: all 5 parameters (ct0, rest_id, proxyUrl, resFormat, auth_token) have no descriptions. The description does not mention any of these parameters or explain what values they accept. With no compensation from the description, parameter semantics are entirely absent.

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 merely restates the name and context: 'get accountAnalytics Group: userTweets.' It does not specify what the tool actually does, what resource it operates on, or what is returned. Without concrete verb-resource semantics, it fails to distinguish from siblings like userTweetsV2 or userTimeline.

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. The only hint is 'Group: userTweets,' which suggests a thematic grouping but does not explain selection criteria or exclusions. Sibling tools cover many tweet-related actions, but no context is given for preferring this one.

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 is the sole source of behavioral disclosure. It only mentions billing per call and the group name; it does not describe side effects, mutation, authentication needs, or response behavior. The verb 'add' implies a write, but nothing about consequences is shared.

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 short but reads as under-specification rather than effective conciseness. The two fragments ('add Response' and 'Billing per call: 1 Credits.') do not provide enough information to be useful and omit critical 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?

Given 13 undocumented optional parameters, no output schema, and no annotations, the description is drastically incomplete. An agent cannot determine what inputs to provide or what to expect when invoking the 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%: all 13 parameters are bare string fields with no descriptions. The tool description does not explain any parameter's meaning, syntax, or role, so it completely fails to compensate for the absent schema details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'add Response' tautologically restates the title and adds only a group hint ('grokAI'). It does not explain what a 'Response' is or distinguish this tool from siblings like createGrok or getGrokItemsByRestId. A specific verb+resource is missing.

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. There is no context about use cases, prerequisites, or exclusions. The billing note is the only extra information and does not help with tool selection.

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

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

No annotations are provided, and the description does not disclose behavioral traits like destructive effects (though blocking is non-destructive but impactful), rate limitations, or authentication requirements. The billing info (1 credit) is mentioned, but the agent is left unaware of side effects like removing the user from followers or muting notifications, which are not stated.

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, but it spends characters on a URL and billing note rather than useful behavioral info. It's not overlong, but the structure is not ideal—front-loading minimal value and deferring to an external 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?

The tool has 7 parameters, no output schema, and no annotations. The description is incomplete as it doesn't specify return values, error handling, or the exact blocking behavior (e.g., does it also mute?). The external link is a placeholder but not sufficient for an agent to use the tool correctly without additional context.

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 and 7 parameters, the description adds minimal value. It doesn't explain which parameters are required (e.g., userId vs screenName) or how authentication parameters (ct0, apiKey, auth_token) are used. The external link may help, but the description itself offers no parameter semantics, forcing the agent to rely on guesses.

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 tool name 'blocksCreate' and title 'blocks Create' strongly imply blocking functionality. The description links to Twitter's API reference for POST blocks/create, which explicitly clarifies the action: blocking a user. This is clear enough to distinguish it from siblings like blocksDestroy (unblocking), but the description itself relies on the external link for 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?

No clear statement about when to use this tool compared to others. The external link mentions the API reference, but there is no explicit guidance on prerequisites, such as needing authentication tokens (ct0, auth_token) or the difference between blocking via userId vs screenName. The description lacks context for appropriate use cases.

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 for behavioral disclosure. It does not state that the tool destroys an existing block, what side effects occur, what authentication is required, what happens on success, or whether the action is reversible. 'Billing per call' is the only operational detail and that does not cover the actual 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 short, but the brevity comes from under-specification rather than tight wording. The sales group line and billing information do not earn their place compared to the missing behavioral and parameter context.

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 7 schema parameters, no annotations, and no output schema, the description is far too sparse to enable correct invocation. The documentation URL is useful as a lookup, but it does not convey the parameter semantics, authentication requirements, or return behavior expected of the 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?

The input schema has 7 parameters with 0% description coverage, and the description provides no parameter explanations whatsoever. The agent has no way to know the roles of userId, screenName, auth_token, ct0, apiKey, proxyUrl, or resFormat, or which combinations are required.

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 includes a documentation URL pointing to the post-blocks-destroy endpoint, and the title 'blocks Destroy' clearly signals that this tool unblocks/destroys a block. This helps distinguish it from the sibling tool blocksCreate, though the description never states the purpose in its own plain-language sentence.

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 blocksCreate or other block-related actions. 'Group: Send Tweets' and billing information are not usage directions, and no preconditions or exclusion criteria are 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 must disclose behavior. It does not mention whether this is a read-only operation, any authentication requirements, rate limits, or what happens on error. The 'Billing per call' hint is the only behavioral note, but it doesn't describe the tool's actual behavior 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 very short, but that's underspecification rather than conciseness. It is not structured to help an agent; it's just a phrase plus billing metadata. Every word is essentially wasted because it adds no actionable information.

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 lack of annotations, output schema, and parameter descriptions, the tool is completely under-specified. An agent cannot know what data is returned, how to construct a valid request, or what edge cases exist. The complexity of 4 parameters with no guidance makes this far from 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%; the description does not explain any of the four parameters (cursor, userId, proxyUrl, resFormat). Agents receive no hints about what each parameter controls, requiredness, or format. This is a critical gap given no parameter 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 essentially restates the name and title: 'get blueVerifiedFollowers by V2'. It adds only 'Group: follows' and billing info, which do not clarify what the tool does or what 'blueVerifiedFollowers' means. It fails to distinguish from sibling follow-related tools like followersListV2 or followsIds.

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. With many siblings (followersList, followersIds, followingsList, etc.), the description offers no context for selection. It does not mention any prerequisites or scenarios.

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

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

No annotations are provided, so the description bears full responsibility for disclosing behavior. It only mentions billing (1 credit) and gives no indication of side effects, permissions, rate limits, or what the tool actually does.

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 not verbose, but the content is mostly filler (group and billing). It is under-specified rather than concise, and the structure does not front-load useful information.

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 5 parameters, no output schema, and no annotations, the description is extremely incomplete. It fails to convey what the query returns, how to invoke it, or any constraints, making it nearly unusable for an agent.

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 5 parameters with 0% cover by the description. The description does not explain the meaning or purpose of apiKey, cursor, proxyUrl, resFormat, or communityId, leaving the agent with no semantic context beyond field names.

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 essentially restates the tool name ('get CommunitiesFetchOneQuery info') and adds only a group label and billing info. It does not specify what the query does, what resource it acts on, or how it differs from siblings like CommunitiesMemberV2 or CommunitiesSearchV2. This is a tautology.

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 vs the many community-related siblings. It only mentions 'Group: communities' but provides no use cases, prerequisites, or exclusions.

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

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

No annotations are provided, so the description must fully disclose behavioral traits, but it only states the operation and billing. It does not describe response format, authentication requirements, pagination/cursor behavior, or any edge cases, leaving important behavior undisclosed.

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 but under-specified; it essentially repeats the title and adds only generic group/billing context. This is not commendable conciseness, as it fails to convey even basic parameter or usage information.

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 5 parameters, no annotations, no output schema, and no shared guidance, the description is completely insufficient for safe and correct invocation. It would need at least communityId and cursor roles, authentication context, and response shape to be adequately 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%, and the description does not compensate for the 5 parameters. None of apiKey, cursor, proxyUrl, resFormat, or communityId are explained in the description, so the AI agent cannot infer meaningful parameter semantics beyond their names.

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') and resource ('Communities Member list'), so the core purpose is understandable. However, it does not explicitly differentiate this from sibling community tools like CommunitiesTimelineV2 or CommuntiesSearchV2, though 'member list' does signal a distinct resource.

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 only adds context fields ('Group: communities' and billing) without explaining use cases, prerequisites, or which sibling tools are preferable for related queries.

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 must fully disclose behavior, but it only adds 'Group: communities' and 'Billing per call: 1 Credits.' It does not mention required authentication, pagination behavior, data scope, or whether this is a read-only search.

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, but the first sentence is redundant with the title and 'Group: communities' mostly repeats the tool name. It is concise in size but not in informative value.

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 5 undocumented parameters, no annotations, and no output schema, this description is severely incomplete. It does not describe return format, expected inputs, prerequisites, or behavior, so an agent cannot reliably select or invoke 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?

Schema description coverage is 0% and the description adds no meaning for the five parameters (word, apiKey, cursor, proxyUrl, resFormat). The agent is left without any indication which parameters matter or how they control the community member list.

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 is identical to the title ('get Communities Member list.') and merely restates the tool's name without explaining what the search or member-list operation actually does. It does not distinguish this from sibling tools like CommunitiesMemberV2 or CommunitiesTimelineV2.

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 use this tool instead of the many sibling community/list tools. It only gives a group label and billing cost, so the agent cannot determine the appropriate 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?

No annotations are provided, so the description carries the full burden. It does not mention any behavioral aspects such as return format, pagination beyond the cursor parameter hint, or rate limits. The tool likely makes API calls, but nothing is disclosed. The description just restates the purpose without describing 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 extremely short, nearly a repeat of the title. It includes billing information that is probably not critical for tool selection. While it is concise, it omits important information, so it is under-specified rather than efficiently concise.

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 that there is no output schema, no annotations, and 0% schema description coverage, the description should compensate for all missing context. It does not. For a tool with 5 parameters and likely a complex response, the description is completely inadequate for an agent to understand what it does beyond the broad 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?

Schema description coverage is 0%, meaning the description does not explain any parameter. There are 5 parameters (apiKey, cursor, topicId, proxyUrl, resFormat) with no descriptions. The tool description adds zero value to understanding these parameters, so the agent must guess their meanings. This is a significant 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 'get Communities Explore Timeline' states the tool retrieves a timeline for communities. It is clearer than a tautology because it adds 'Explore Timeline' to the name, but it lacks specificity about the exact resource or scope. Among siblings like 'CommunitiesTweetsTimelineV2' and 'CommunitiesSearchV2', it does not fully distinguish itself as it doesn't clarify what 'Explore Timeline' includes.

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 explicit guidance on when to use this tool versus alternatives. With siblings like 'CommunitiesTweetsTimelineV2' and 'CommunitiesSearchV2', the description fails to mention any difference or when to prefer them. It only provides generic info about billing, which is not usage guidance.

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

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

No annotations exist, so the description must disclose behavioral traits, but it does not mention return format, authentication needs, rate limits, or side effects. The only behavioral hint is the billing cost, which is insufficient for a data-fetching API.

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 but mostly restates the tool title and adds billing/group metadata. This is under-specification rather than effective conciseness, since no actionable information is provided.

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 five unannotated parameters, no output schema, and many closely related sibling tools, the description is far too minimal. It does not tell the agent what inputs are required, what the response looks like, or how this call differs from alternatives.

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 no parameter-level meaning. The agent cannot tell how communityId, cursor, apiKey, proxyUrl, and resFormat relate to the request or which are essential.

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 Communities Tweet timeline, using a specific verb and resource. However, it repeats the title and does not distinguish this from sibling tools like CommunitiesTimelineV2 or CommunityQueryV2.

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 alternative Twitter/Community timeline tools. The description provides only 'Group: communities' and billing information, not contextual use cases or 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?

No annotations are provided, so the description must disclose behavioral traits such as read-only status, authentication requirements, pagination behavior, or output format. It only mentions billing per call and the community group, leaving the agent without important behavioral context.

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: the main phrase merely repeats the title and the only added information is group and billing. This is not appropriately concise for a tool with five undocumented parameters and no output schema.

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 annotations, no output schema, and five undocumented parameters, the description must provide substantial context but does not. It omits return value details, pagination, required inputs, and any relationship to the many sibling community tools, making it inadequate for correct 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?

Schema description coverage is 0% and the tool has five parameters (apiKey, cursor, proxyUrl, resFormat, communityId), none of which are explained in the description. The description adds no meaning to any parameter, so the agent cannot infer how to populate them.

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 is nearly identical to the title ('get CommunityQuery info') and adds only 'Group: communities' and billing. It does not define what CommunityQuery represents or what information is returned, and it fails to distinguish this tool from sibling communities tools such as CommunitiesFetchOneQuery or CommunitiesTimelineV2.

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. 'Group: communities' gives only a broad domain hint, with no mention of when CommunitiesFetchOneQuery, CommunitiesSearchV2, or other community tools would be more appropriate, and no exclusions or 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 full burden of behavioral disclosure. It does not reveal what side effects occur (e.g., creating a bookmark on the user's account), what inputs are needed beyond the 6 parameters, or any constraints. The description is entirely uninformative about 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 extremely short (one sentence) but fails to be concise because it lacks essential information. It is effectively under-specified, not elegantly concise. The structure does not front-load actionable information; 'Group: Send Tweets' is vague and unrelated to the tool's purpose.

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's complexity (6 undocumented parameters, no output schema, no annotations), the description is completely inadequate. It does not explain the tool's function, required inputs, output format, or side effects, leaving the agent unable to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no additional meaning for any of the 6 parameters. The parameter names (id, ct0, apiKey, proxyUrl, resFormat, auth_token) are ambiguous; the description does not clarify their purpose, formats, or relationships. This is critical since no defaults or enums are provided.

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 is a tautology: 'createBookmark Tweet' merely restates the tool name and title without providing any functional context. It says 'Group: Send Tweets' which is ambiguous and does not explain what creating a bookmark entails. This does not distinguish it from sibling tools like createTweet or deleteBookmark.

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, when not to use it, or how it relates to alternatives. The only additional text, 'Billing per call: 1 Credits,' is irrelevant to usage selection. No context about prerequisites (e.g., needing authentication) 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 must carry the full burden of behavioral disclosure. It mentions billing (1 credit per call), which is useful, but does not disclose what happens when the group is created, whether it requires prior authentication, or what the side effects are. The behavior is under-specified.

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 short, with two sentences. It front-loads the purpose and adds a billing note. Minimal waste, though it could be slightly more informative 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?

Given the limited schema (0% description coverage), no output schema, and no annotations, the description is insufficient. The tool has only two optional params, but for an action that creates a conversation (likely with side effects like using credits), more context is needed on prerequisites, response, and error conditions. The billing note is the only extra context, which is not enough for a complete evaluation.

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 schema only has two parameters: proxyUrl and resFormat, both optional. The description does not explain what these parameters do. proxyUrl likely is a proxy endpoint, but resFormat is unclear (though example 'json' hints at response format). Since the schema provides no descriptions, the tool description should 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 states it creates a Grok Conversation Group called 'grokAI', which is a specific verb+resource. However, it does not differentiate from sibling tools, and the tool name 'createGrok' and description are nearly identical, providing little added clarity.

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 explicit guidance on when to use this tool versus alternatives. It only mentions billing per call (1 credit), but no context on when a Grok conversation would be needed or how it differs from other creation tools like createTweet or sendDMS.

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 mentions billing ('1 Credits') and that it sends tweets, but does not reveal side effects, authentication requirements, rate limits, or whether this posts publicly or drafts.

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 has no filler, but it is under-specified rather than efficiently concise. Both sentences carry some information, yet the brevity comes at the cost of critical usage and parameter guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 10 parameters, no annotations, no output schema, and no behavioral details, a two-sentence description is grossly insufficient for an agent to select and invoke this tool 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 only 40%, and the description adds no parameter explanations. Six of ten parameters (ct0, text, apiKey, proxyUrl, resFormat, auth_token) are undocumented in both the schema and description, leaving the agent unable to infer what values are expected.

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: 'Create Note Tweet' and 'Send Tweets.' It identifies the resource type (Note Tweet) but does not distinguish itself from similar siblings like createTweet or tweetReply beyond the 'Note Tweet' term.

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 context is provided. The description does not say when to use this tool versus alternatives, what prerequisites are needed (e.g., authentication), or what distinguishes this endpoint from createTweet/tweetReply.

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 mentions billing and grouping. It does not disclose required authentication, side effects, rate limits, or whether retweeting replaces an existing retweet.

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 and front-loaded, with no filler. It wastes no words, though it sacrifices necessary detail at the expense of completeness.

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 5 parameters, no annotations, and no output schema, this description is far too minimal. It provides no usage context, parameter meaning, authentication requirements, or expected behavior beyond the one-line action.

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 5 parameters (ct0, tweetId, proxyUrl, resFormat, auth_token). The agent is left without semantic guidance for these 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 states 'retweet a Tweet' with a clear verb and resource, and the title matches. It is unambiguous about the core action, though it does not explicitly differentiate from sibling tools like createTweet or deleteRetweet beyond the action name.

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. It does not mention prerequisites, when retweeting is appropriate, or how it differs from creating a tweet or deleting a retweet.

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 disclosing behavior. It only says 'create a Tweet' with no mention of side effects, auth requirements, rate limits, or response format. This is a significant gap for a write operation.

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 short but under-specified. The billing sentence adds little value for tool selection. It is concise in word count but not appropriately sized for the complexity, lacking necessary guidance. Under-specification is not 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 7 parameters, no output schema, and no annotations, the description is completely inadequate. It does not explain return values, auth needs, or any operational context. An agent cannot reliably invoke this tool without external documentation.

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% (no parameter descriptions), and the description adds no explanations for the 7 parameters (ct0, text, medias, proxyUrl, resFormat, auth_token, attachment_url). It fails to compensate for the schema's absence of semantics, leaving the agent without any clue about parameter purpose.

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 'create a Tweet' which is a clear verb+resource, distinguishing it from siblings like createRetweet and deleteTweet. However, it does not elaborate on the type of tweet (e.g., regular, reply, or note) or mention its scope, leaving some ambiguity given the presence of tweetSimple and tweetReply.

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. The description only mentions billing and the action, with no context on prerequisites, authentication, or scenarios where another tool (e.g., tweetReply) would be more 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 and a description that only mentions billing, the tool's side effects, required permissions, or operational behavior are entirely undisclosed.

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 short, which is concise, but it is poorly structured and lacks meaningful content. The two sentences contain only the tool name, group label, and billing info, none of which serve as a proper description.

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's apparent function (deleting a bookmark) and multiple parameters, the description is drastically incomplete, offering no operational context or parameter explanations.

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 nothing about the parameters (id, ct0, apiKey, etc.). The schema only lists names, and the description does not clarify their purposes or relationships.

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 merely repeats the tool name 'deleteBookmark' and adds irrelevant metadata about group and billing. It does not state what the tool actually does, leaving the purpose ambiguous beyond the name's implication.

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, prerequisites, or comparison to alternatives. The description provides no context for appropriate usage.

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

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

With no annotations, the description must disclose behavioral traits. It mentions billing cost and that it deletes a retweet, but omits side effects, auth requirements, or reversibility. The cryptic 'Group: Tweets' adds little clarity.

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 short, which is efficient, but the 'Group: Tweets' phrase is unclear and the billing note is the only non-obvious detail. It could add crucial parameter context 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?

The tool has 5 parameters, no output schema, and no annotations, yet the description provides almost no operational context. The agent is unlikely to know what 'id' refers to or how to obtain required credentials, making the tool under-specified.

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 provides no explanation for any parameter (id, ct0, proxyUrl, resFormat, auth_token). The purpose of 'id' is ambiguous, and other parameters are left entirely to the agent's inference.

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 'Delete Retweet' clearly states the action and target resource, matching the title. However, it does not differentiate from sibling tools like deleteTweet or unlikeTweet, so it lacks explicit scope or alternative distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives is provided. The description only states the operation and billing, with no context for selection among similar deletion 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?

The description does not disclose any behavioral traits such as irreversibility, required authentication, rate limits, or side effects. It only includes billing and group metadata, which are not behavioral details.

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 short, but it lacks structure and substantive content. It is concise but at the expense of clarity, consisting of a single sentence with unrelated metadata (Group and Billing) that does not aid understanding.

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 lack of schema descriptions and annotations, the description is severely incomplete. It does not explain the return value, potential errors, or operational context, making it inadequate for an agent to use the tool 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 input schema includes five parameters (id, ct0, proxyUrl, resFormat, auth_token), but the description provides no explanation of their purpose, format, or requirements. The parameters are entirely left unspecified.

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 'Delete Tweet' which is a verb-object phrase, but it essentially repeats the tool name without adding any distinguishing details. It does not clarify the scope or differentiate from other delete operations like deleteBookmark or deleteRetweet.

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 prerequisites, context, or conditions for deletion.

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 should disclose behavioral traits (e.g., read-only, pagination, auth needs). It only notes billing and a vague group, omitting any indication of side effects, auth requirements, or response handling. The tool likely fetches data but this is never stated.

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, almost a fragment. While it is short, it is under-specified rather than concise; it lacks essential structure and substance, failing to earn 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?

The tool has 5 parameters, no output schema, and no annotations. The description provides no information about return values, pagination, or how parameters interact. It is completely inadequate for an agent to correctly invoke 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 coverage is only 20% (only auth_token has a description). The description adds zero parameter information, leaving cursor, tweetId, proxyUrl, and resFormat entirely unexplained. This is a major 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 says 'Favoriters by V2 Group: Tweets' which essentially restates the tool name and adds a vague group label. It does not state a specific action or resource (e.g., 'Get users who favorited a tweet'), making it ambiguous and lacking differentiation from siblings like favoritesList or likeV2.

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, nor any mention of prerequisites or contexts. The description only mentions billing and group, offering no decision support.

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

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

With no annotations and a description that mentions only billing, there is no disclosure of side effects, rate limits, required authentication, or other behavioral traits. The tool's runtime behavior is completely opaque.

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 terse, but its brevity is not effective—it omits essential information. While there is no verbosity, the minimalism undermines usefulness, making it insufficiently informative.

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 lacks any context: no explanation of input/output, use cases, or relationship to other tools. Given the complexity implied by the parameters and sibling tools, this description is grossly 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 provides descriptions for maxId and sinceId, but userId, proxyUrl, resFormat, and screenName are undocumented. The description adds no further clarification, leaving parameter semantics partially unclear.

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 is essentially a placeholder, only providing a URL and metadata (Group: Tweets, Billing) without explicitly stating what the tool does. Even though the tool name suggests retrieving favorites, the description itself fails to convey any functional 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?

No guidance is provided on when to use this tool, how it fits into workflows, or alternatives. The description offers no context for choosing this over sibling 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 must carry the full burden of behavioral disclosure. It only states the billing cost and links to external docs. It does not disclose that this is a mutating operation (following), any side effects, authentication requirements, or 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 short but not concise in a useful sense. It wastes space on a URL and billing without conveying core purpose. It is under-specified rather than efficiently informative.

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 6 undocumented parameters, no output schema, no annotations, and a complex domain (Twitter API), the description is completely inadequate. It provides essentially no actionable information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description provides no explanation of any of the 6 parameters. The parameters (ct0, userId, proxyUrl, etc.) are entirely undefined, so an agent would have no clue how to populate them.

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 does not explicitly state what the tool does. It only provides an external URL and billing information. The title 'to follow' is vague, and while the URL hints at creating a friendship (following), the description itself lacks a clear verb-resource statement. It does not distinguish from the many sibling 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?

There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, exclusions, or comparisons to other follow/unfollow tools. The description is purely a URL reference and billing note.

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, but it discloses no behavior: no mention of read-only nature, authentication requirements, rate limits, data returned, or side effects. The billing note is the only behavioral hint, and it's not about functionality.

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 free of fluff, but it is under-specified rather than concisely informative. It does not front-load the tool's purpose and delivers only a link and metadata, which is not effective structure for an AI 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?

Given the tool has 5 unrequired parameters, no annotations, no output schema, and a complex domain (Twitter API), the description is entirely inadequate. It provides no context about the tool's function, output format, or parameters, making it impossible for an agent to use correctly without external lookup.

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 provides no information about any of the 5 parameters (cursor, userId, proxyUrl, resFormat, screenName). The agent receives no added meaning beyond the parameter names in the schema, so the description fails to compensate for the schema's lack of explanations.

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 does not explicitly state what the tool does; it only provides a URL for details, a group label ('follows'), and billing info. The tool name and title are self-explanatory, but the description adds no clear purpose statement beyond that, making it weakly differentiated from similar siblings like get_base_apitools_followersList or get_base_apitools_followingsIds.

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, exclusions, or preferred scenarios. The description offers only a URL and billing, leaving the agent without context for selection among many related x.com 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?

With no annotations, the description carries the full burden of explaining behavior, but it only provides an external docs URL, group, and billing credit. It does not disclose return format, pagination/cursor behavior, authentication needs, 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 short and contains no redundant prose, but its brevity is due to under-specification. The external URL is front-loaded, yet the description lacks the structured behavioral and parameter information needed for effective use.

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 5 undocumented parameters, no annotations, and no output schema, this description is far from complete. It only points to external documentation, leaving an agent unable to select and invoke the tool confidently.

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 no parameter details. Parameters like proxyUrl and resFormat are unexplained, and the relationship between userId and screenName is not clarified.

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 title 'Get Followers User Collection' provides a clear verb+resource, and the URL references get-followers-list, so an agent can infer the endpoint. However, the description text itself does not explain the behavior and does not distinguish it from siblings like followersListV2 or followersIds.

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 only says 'Group: follows' and gives billing information; it gives no guidance on when to use this tool versus related follower/following list tools. There are no exclusions, alternatives, or context indicators.

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. It mentions billing and group, but does not disclose whether authentication is required, whether pagination via 'cursor' is supported, whether results are limited, or what side effects (if any) occur. The verb 'get' implies a read operation, but this is implicit and underdeveloped.

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 short, but this is under-specification rather than effective conciseness. The main sentence is redundant with the tool name and title, and the billing/group metadata, while useful, does not make up for the absence of substantive 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?

There is no output schema, no annotations, and no meaningful description of return values, pagination, or parameter behavior. The tool's purpose is only vaguely implied, and the description is nowhere near sufficient for an agent to understand what this tool returns or how to use it correctly, especially given the large set of 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 description coverage is 0% and the description adds no parameter information whatsoever. The parameters 'cursor', 'userId', 'proxyUrl', and 'resFormat' remain unexplained, especially 'proxyUrl' and 'resFormat', which are non-obvious. The description does nothing to compensate for the lack of schema-level documentation.

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 'get followersList by V2' essentially restates the tool name and title, providing no explanation of what a 'followersList' is or what data it returns. It does add 'Group: follows' but this is categorization, not a clear functional definition. It also does not distinguish itself meaningfully from sibling tools like 'followersList' or 'blueVerifiedFollowersV2' beyond the V2 label.

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. The description only restates the action and mentions billing; it does not explain the intended use case, prerequisites, or scenarios where another tool (e.g., 'followersIds') would be more 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?

The only behavioral disclosure is billing cost (1 Credit per call) and the group 'follows.' No safety, authentication, rate limit, or pagination behavior is described, and there are no annotations to compensate.

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 short, but it is not well-structured as a tool explanation; it reads as a raw note with a link, group label, and billing info. It is concise but not effectively front-loaded with purpose.

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 5 undocumented parameters, no output schema, and no annotations, the description is severely incomplete. It offers only an external link and cost, leaving essential operational details entirely absent.

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 names no parameters. The agent gets no explanations for cursor, userId, screenName, proxyUrl, or resFormat, making it impossible to know how to pass them correctly.

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 title 'Get Followings Ids' clearly indicates the tool fetches IDs of accounts a user follows. However, the description text itself only provides a link and metadata, doing nothing to differentiate it from sibling tools like followersIds or followingsList.

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. It does not mention use cases, prerequisites, or situations where other tools would be preferred, leaving the agent without decision support.

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

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

With no annotations provided, the description must disclose behavioral traits, but it only points to an external URL and mentions billing per call. It does not describe whether the operation is read-only, what data is returned, or any side effects. The billing note adds some value but is insufficient.

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 short and front-loaded, but it is under-specified rather than concise. The link and billing info are useful but could be complemented with a clear sentence about functionality. It does not waste words, but it also does not add substantive 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?

Given the tool's complexity (5 parameters, no annotations, no output schema), the description is incomplete. It relies on an external link and billing note, leaving the agent without information about required parameters, return format, or pagination. This is a minimal viable tool description at best.

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 five parameters with zero description coverage, so the description must compensate, but it offers no explanations for cursor, userId, proxyUrl, resFormat, or screenName. The external URL might contain parameter details, but that is not accessible to the agent directly. The description adds no value beyond the 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 tool name and title clearly indicate it lists a user's followings, but the description is essentially a reference to an external API documentation URL plus a billing note, lacking a plain-language statement of what the tool does. It distinguishes from siblings like followingsIds and followingsListV2 only via the URL's 'friends-list' hint, which may not be sufficient.

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 followingsListV2 or followingsIds. The description only provides an external link and billing info, offering no context about suitable use cases, prerequisites, or differences from siblings.

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 burden of behavioral disclosure. It only mentions billing ('1 Credits per call') and group 'follows', but does not disclose side effects (likely read-only), authentication requirements, rate limiting, pagination behavior, or response format. The description is silent on all key behavioral aspects.

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 short, but this is under-specification rather than conciseness. It does not provide enough information to be useful. The single sentence adds no meaningful detail beyond the title, so it fails to earn 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?

Given the tool's complexity (4 parameters, no output schema, no annotations), the description is completely inadequate. It does not explain what the API returns, how pagination works, or how this differs from the non-V2 sibling. A minimally complete description would at least mention pagination (cursor) and the meaning of userId.

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 4 parameters (cursor, userId, proxyUrl, resFormat) and 0% schema description coverage, the description offers no explanation of these parameters beyond their names. For instance, it does not clarify that 'userId' is the target user or how 'cursor' behaves for pagination. The description adds no value over 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 is a tautology: 'get followingsList by V2' simply restates the tool name and title with no additional information about what the tool does, what a followings list is, or what data it returns. It fails to distinguish from siblings like get_base_apitools_followingsList and get_base_apitools_followingsIds.

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. The description does not mention typical use cases (e.g., retrieving a user's following list) or when to prefer this V2 endpoint over the non-V2 siblings.

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 adds billing cost ('1 Credits') and a group label, but does not disclose read-only behavior, authentication requirements, rate limits, or what kind of relationship data is returned. The external link is not a substitute for inline transparency.

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 contains no redundant wording, so it is concise. However, its main content is a URL pointer rather than a self-contained summary, and the useful metadata (group, billing) is not structured to aid quick tool selection.

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 annotations, no output schema, and a 0% parameter description coverage, the description is not self-sufficient. A moderate-complexity tool with two user identifiers needs to explain input relationships and return semantics; this description leaves the agent almost entirely reliant on external documentation.

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 provides no parameter guidance. With six parameters including source_id, target_id, source_screen_name, and target_screen_name, the agent receives no explanation of how to choose between identifiers or which combinations are valid.

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 does not actually state what the tool does; it only points to an external documentation URL and lists 'Group: follows.' The URL slug and title hint at friendships, but the description text itself lacks a clear verb+resource statement and does not differentiate it from sibling follow-related 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?

There is no guidance on when to use this tool versus alternatives like followersList, followingsList, or userTimeline. 'Group: follows' gives weak topical context but does not explain the intended use case or 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 full burden. It mentions billing per call, which is a useful behavioral trait, but it does not disclose what the tool does, whether it is safe/read-only, what the ct0 token is used for, or any side effects. The description is effectively a rephrasing of the tool name with a billing note.

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 short: 'getCt0 by auth_token Group: other. Billing per call: 1 Credits.' While it is concise in terms of word count, it is under-specified rather than concise in a helpful way. The billing line is useful, but the rest does not help an agent understand the 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?

This is a zero-parameter-required tool with no annotations and no output schema. The description is required to explain the tool's purpose and behavior, but it fails to do so. For a tool that likely returns a sensitive authorization token (ct0) and involves billing per call, the lack of context is a significant 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%, and there are 4 parameters (apiKey, proxyUrl, resFormat, auth_token) with no documentation in the description. The description does not clarify the purpose or format of any parameter, nor does it explain how they relate to each other. This is a significant failure given the parameters look nuanced (e.g., what is proxyUrl? what format should resFormat take?).

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 'getCt0 by auth_token Group: other. Billing per call: 1 Credits.' includes the tool name and a billing note, but does not state what the tool does. 'getCt0' is presented as a specific function, but without context for an AI agent or a human reviewer, this is close to a tautology. It does not differentiate itself from the many sibling tools, and the 'Group: other' is not helpful.

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. Given the siblings include 'getToken', 'getUserIdByToken', and 'post_base_apitools_getCt0', explicit usage guidance would be very helpful. The description only implies this is a GET operation for 'ct0' but provides no context on when it 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?

With no annotations, the description carries full burden for behavioral disclosure. It states it gets data, but does not mention side effects, return format, pagination, or any limitations. The mention of credits is a billing detail, not behavioral transparency.

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 short and includes extraneous billing information ('6 credits', 'Billing per call: 1 Credits') that is not essential for understanding the tool's function. It is concise but not optimally focused on the tool's purpose.

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 lack of output schema and minimal parameter info, the description is incomplete for an agent to determine how to call the tool correctly. It does not explain the output, the meaning of parameters, or any constraints, making it insufficient for effective use.

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 zero parameter descriptions, and the description does not explain any of the five parameters (page, apiKey, proxyUrl, resFormat, screenName). Since schema coverage is 0%, the description should compensate but does not, leaving the agent without any parameter context.

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: retrieving deleted tweets for a given user. It is distinct from sibling tools like analytics or blocks, so the verb/object combination is 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?

The description does not provide any guidance on when to use this tool vs. alternatives, nor does it mention prerequisites, typical use cases, or parameter requirements. It only mentions credits and billing, which are not usage guidelines.

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 should disclose side effects, safety, or auth requirements. It mentions needing auth_token and ct0 and billing per call, but does not describe any behavioral traits such as whether it is read-only, what it returns, or any 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 short but unstructured, mixing links, auth tips, and billing info. It is not concise in a useful way because the essential purpose is missing; the content is mostly extraneous.

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 complex (6 params, no output schema, no annotations) and the description fails to provide necessary context like what the tool does, expected inputs, or return value. It is critically 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?

Schema coverage is 0% and the description does not explain any of the six parameters. It only obliquely references auth_token and ct0 without describing their format or purpose.

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 does not state the tool's function; it only provides external links and authentication instructions. The name suggests getting DMs, but the title 'receiving events' is ambiguous and does not clarify the resource or action.

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 many sibling tools like getDMSListV2 or sendDMS. There is no mention of alternative tools or decision criteria.

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 to rely on, the description carries the full burden of explaining the tool's behavior, but it reveals nothing about side effects, read/write nature, authentication requirements, or what the call does. The only extra statement, 'Billing per call: 1 Credits,' is a billing detail, not a behavioral disclosure. This is severely inadequate for any tool with zero annotation coverage.

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?

While the description is short, this is under-specification, not conciseness. There is no structure, front-loading, or prioritization of critical information. The text 'Group: DMS' and billing note add little value, and the entire entry could have been a single useful sentence about the tool's purpose.

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 six parameters, no output schema, and no annotations, the description needed to be comprehensive but is virtually empty. It fails to explain what is returned, what DMS Init means in this context, or any side effects. This is completely inadequate for an agent to effectively and safely use the 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?

The input schema lists six parameters (e.g., ct0, apiKey, cursor) with only their names and no descriptions, and the schema description coverage is 0%. The description fails to clarify any parameter's purpose or format. Given the low coverage, it was essential for the description to compensate, which 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?

The description 'get DMS Init' simply restates the tool name with no explanation of what 'DMS Init' means or what action it performs. The additional text 'Group: DMS' provides no semantic value. This is a textbook tautology, failing to clarify the resource or operation beyond the name.

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 like getDMS or getDMSListV2. The description offers no use cases, prerequisites, or exclusions. This amounts to a complete lack of usage direction, though not misleading enough to warrant a 1.

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 disclose behavioral traits. It only mentions billing credits, which is not a behavioral aspect like auth requirements, rate limits, or side effects. The operation's read-only nature is implied by 'get' but never explicitly stated.

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 short, but this is under-specification rather than effective conciseness. The group and billing information add little value for tool invocation, while essential details are missing.

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 six undocumented parameters, no output schema, and no annotations, the description is grossly insufficient. It fails to explain what the tool returns, how to configure parameters, or when to use it, making it nearly impossible for an agent to invoke 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 input schema has six parameters with zero description coverage, and the description adds no meaning to any of them. Parameters like ct0, max_id, proxyUrl, and resFormat remain completely opaque, forcing the agent to guess their formats and purposes.

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 DMS List,' clearly indicating this tool retrieves a list of direct messages. However, it lacks specifics on whether it returns sent/received DMs or pagination, and it does little to distinguish itself from sibling tools like getDMS or getDMSInitIdV2.

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. The description only mentions group and billing, not any selection criteria, prerequisites, or scenarios.

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

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

With no annotations provided, the description carries the full burden. It discloses only 'Billing per call: 1 Credits' and implies a read operation via 'get' in the name, but it does not state return format, side effects, authentication needs, or other behavioral aspects.

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 brief, but brevity comes at the cost of clarity. It is a single fragment, not a well-structured sentence, and while every word is short, it omits critical details. It is concise but not effectively structured.

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 3 parameters, no output schema, and no annotations. The description is too sparse to be complete: it does not explain parameters, output, or usage context, making it inadequate for an agent to correctly invoke the 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 coverage is 0% and the description does not explain any parameter. The `restId` parameter is implied by the description, but `proxyUrl` and `resFormat` are completely unexplained, so the description adds no meaningful semantics beyond the raw 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 'Grok Conversation Items By RestId' conveys the resource (Grok conversation items) and key parameter (restId), but it is a noun phrase rather than a clear verb-driven statement. It partially distinguishes from sibling tools by naming Grok-specific items, but it essentially restates the title 'getGrokItemsByRestId' without adding a clear action like 'fetches' or 'retrieves'.

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 only lists a group label and billing info, with no context about intended scenarios, prerequisites, or exclusions.

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

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

No annotations are provided and the description does not disclose behavior such as what token is returned, how it is used, authentication requirements, side effects, or error behavior. The phrase 'Get robot token' is too thin to convey the operational contract.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded and has no filler words, but it is under-specified. It is compact rather than helpfully concise, and it sacrifices needed operational content for minimal word count.

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 five input parameters, no output schema, and no annotations, so the description must carry the operational context. It does not explain expected output, token purpose, prerequisites, or differences from similar sibling tools, making it incomplete for safe agent use.

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 only 20%, with only methodKey described, and the tool description adds no parameter explanations. Five parameters are effectively opaque: type, apiKey, proxyUrl, methodKey, and resFormat are not meaningfully described.

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 robot token', so an agent can infer this tool retrieves a token. However, it mostly restates the title and does not distinguish itself from the closely related sibling 'post_base_apitools_getToken' or other token-related 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?

There is no guidance on when to use this tool versus alternatives such as post_base_apitools_getToken, getUserIdByToken, or getCt0. The only extra context is 'Group: other' and billing, which are not usage guidelines.

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 disclose behavior, but it does not. It does not state whether the operation is read-only, what side effects (if any) occur, or what data is returned. The only hint is 'get' implying read, but there is no information about pagination, authentication requirements, or rate limits. The billing note ('Billing per call: 1 Credits') is a cost disclosure but not behavioral.

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 short (one sentence plus billing), but it is under-specified rather than concise. It lacks essential context and does not earn its place; it provides no actionable information beyond the tool name. There is no structure that helps the agent quickly understand the tool's purpose or usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a complex DMS-related operation with 6 undocumented parameters, no output schema, and no annotations, the description is woefully incomplete. It does not explain the return value, pagination, authentication needs, or how it differs from similar tools. The tool is impossible to use correctly without external documentation.

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%: none of the six parameters (ct0, apiKey, cursor, proxyUrl, resFormat, auth_token) are explained in the description. The schema only provides type 'string' and a title identical to the name, offering no semantic meaning. The description adds no value for parameters, leaving the agent to guess their roles (e.g., what is 'cursor' used for? What is 'resFormat'?).

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 'get DMS update' is vague; it uses a generic verb 'get' without identifying what 'DMS update' precisely entails (e.g., fetching DMS updates for a user? polling for new direct messages?). It fails to distinguish itself from sibling tools like getDMS, getDMSListV2, and getDMSInitIdV2, which also relate to DMS. The 'Group: DMS' and billing info add no functional clarity.

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 like getDMS, getDMSListV2, or sendDMS. Without context, an agent cannot determine the appropriate scenario, prerequisites (e.g., authentication), or how it differs from other DMS-related 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 burden. It implies a read operation by saying 'get UserId', but it does not disclose authentication requirements, response format, error behavior, or any side effects. This is 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?

The description is very short and front-loaded, but it spends limited space on 'Group: other' and 'Billing per call: 1 Credits' rather than useful behavioral or parameter information. It is concise but under-specified.

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, no annotations, and four undocumented parameters, the description is far from complete. It does not explain what the tool returns, how the token is used, or any prerequisites, making it inadequate for reliable 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?

Schema description coverage is 0% and the description adds no meaning to the four parameters. It only mentions auth_token by name without explaining its format, relationship to apiKey, or the roles of proxyUrl and resFormat.

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: 'get UserId By Auth_token'. This is specific enough to convey the core function, but it does not differentiate from the sibling tool get_base_apitools_getUserNameByToken or the post_base_apitools_getUserIdByToken variant.

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 use this tool versus alternatives. The description only includes 'Group: other' and billing information, which do not help an agent decide between this and similar token/user lookup 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?

With no annotations, the description carries the full burden. It only states billing cost and group ('other'), but fails to disclose whether the operation is read-only, what happens on invalid tokens, or any side effects. The name implies a read operation but it is not explicitly stated, and no other behavior 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 extremely short, but this is under-specification rather than concise efficiency. It contains only a title-like phrase and billing info, lacking any substantive structure or details. It does not earn 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 4 parameters, no annotations, and no output schema, the description is severely incomplete. It does not mention the return format, error behavior, authentication requirements, or any prerequisites. This is inadequate for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain the parameters. It only implies auth_token's role via the tool name, but does not clarify apiKey, proxyUrl, or resFormat. The description adds almost no value beyond the parameter names in 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 tool gets the username (with example @elonmusk) based on an auth token, which is a specific verb+resource. It distinguishes from the sibling getUserIdByToken by explicitly naming 'UserName', and the GET/POST variants are clear from the tool name. However, it somewhat restates the title without adding much nuance beyond the example.

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. It does not mention conditions like 'use this when you need the username instead of user ID' or when to prefer the GET over POST variant. The description provides no usage context or exclusions.

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

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

No annotations are provided, and the description does not disclose any behavioral aspects such as side effects, required authentication (beyond the auth_token parameter), rate limits, or whether it mutates data. The only hint is the billing note, which is not behavioral.

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 short and avoids verbosity, which is positive. However, it is so minimal that it sacrifices essential information, making it less useful. The inclusion of 'Billing per call' is extraneous to the tool's function.

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 lack of annotations, sparse schema descriptions, and minimal description, the tool is far from complete. The description provides almost no context about input requirements, output format, or expected behavior, making it inadequate for an agent to use confidently.

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?

Of the five parameters (cursor, userId, proxyUrl, resFormat, auth_token), only auth_token has a description in the schema. The others are completely undocumented, and the description does not explain their purpose or format. This fails to provide meaningful semantics for most parameters.

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 'Highlights Tweets by V2' is vague and lacks a clear verb (e.g., 'get', 'fetch'). It does not specify what operation is performed or what 'Highlights' means in this context. The title adds little clarity. It does not distinguish from numerous sibling tools that also handle tweets.

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. Given the large list of sibling tools (e.g., tweetTimeline, userTweetsV2), the description provides no criteria for selection or context of use.

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 exist, so the description carries the full burden of disclosing behavior. It does not state whether the tool is read-only, what it returns, how it handles errors, or any side effects. The only behavioral claim is the need for an auth_token, which is minimal and not sufficient for an API call.

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 short, which could be concise, but it is under-specified rather than concise. It wastes space on billing/group info that adds little value while omitting essential operational details. No clear structure or prioritization of information.

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 4 parameters, no output schema, and no annotations, this description is grossly incomplete. It does not explain the purpose, expected inputs, return format, or any edge cases. The agent cannot reliably use this tool based on the description alone.

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%, meaning the description must explain all parameters. It only mentions auth_token, ignoring cursor, proxyUrl, and resFormat entirely. It does not clarify formats, defaults, or how parameters interact. This is far below the baseline needed to compensate for the lack of 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 identifies the resource ('HomeTimeline') but lacks a verb indicating what the tool does (e.g., retrieve, fetch). It states a requirement ('need your auth_token') and a group label but does not say what action is performed. This is more than a tautology but still vague and fails to distinguish from similar timeline 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?

No guidance is provided on when to use this tool versus alternatives like userTimeline, tweetTimeline, or mentionsTimeline. The description offers no context, prerequisites (beyond auth_token), or exclusions. Agents are left to guess based solely on the name.

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 must carry the full burden of behavioral disclosure. It does not mention any side effects, authentication requirements, rate limits, or the fact that this is a mutating operation (liking a tweet). The external link might contain details, but the description itself provides zero transparency.

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, which could be seen as concise, but it fails to earn its place because it provides no substantive information. It is under-specified rather than appropriately concise, and the single sentence is not structured to aid comprehension.

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 6 parameters, no annotations, no output schema, and a low-complexity description that merely points to an external URL, the tool is severely incomplete. The description does not cover any aspect of usage, parameters, behavior, or return values, making it inadequate for an agent to select or invoke confidently.

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 6 parameters (e.g., id, ct0, apiKey, proxyUrl, resFormat, auth_token) with 0% schema description coverage. The description makes no effort to explain any parameter's meaning or usage, leaving the agent completely unguided.

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 only provides a URL and billing info, with no explicit statement of what the tool does. The title 'like(favorites) Tweet' is somewhat suggestive, but the description itself fails to state the verb and resource, relying entirely on an external link. This is effectively missing purpose clarification.

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 the many sibling tools like likeV2 or unlikeTweet. The description merely says 'see details' and gives billing, offering no contextual advice or exclusions.

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

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

With no annotations provided, the description carries the full burden of explaining behavior, but it only mentions billing cost and a category. It does not disclose that this is a mutating action, what credentials are needed, what side effects occur, or what response is returned. The billing note is minor behavioral context but insufficient.

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 short, but brevity is not conciseness here because it omits essential information. The two sentences mostly restate the name and add billing details, leaving no space taken up by meaningful guidance. This is under-specification rather than well-structured 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 five unannotated parameters, no output schema, and an action likely involving authentication and side effects, this description is extremely incomplete. It does not explain what the tool does, what parameters mean, what the result format is, or any requirements. The tool cannot be safely selected or invoked based on this description alone.

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 explaining the five string parameters, but it explains none of them. There is no clarification of what 'id' refers to, what ct0 and auth_token are for, how proxyUrl is used, or what resFormat expects. The parameter names alone are not enough for reliable 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 only restates the tool name ('likeV2') and labels it 'Group: Tweets' without stating what the tool does. It fails to say it likes/favorites a tweet or what resource it acts upon beyond the generic term 'Tweets'. This is closer to tautology than a clear functional 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?

No guidance is provided about when to use this tool versus alternatives like likeTweet, unlikeV2, or userLikeV2. The 'Group: Tweets' label is too generic to help an agent choose this tool over siblings. There are no usage contexts, prerequisites, or exclusions.

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

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

There are no annotations (e.g., readOnlyHint, destructiveHint) and the description does not mention side effects, rate limits, errors, or data sensitivity. The tool appears to be a 'get' operation but this is not explicitly stated.

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, consisting of a link and billing details, but this brevity sacrifices clarity. It lacks a structured explanation of functionality or parameters, making it under-informative despite its short length.

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 lack of annotations, parameter descriptions, output schema, and any behavioral details, the description is far from complete. It does not cover the tool's functionality, inputs, or expected behavior, making it inadequate for understanding usage.

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?

Parameters (userId, proxyUrl, resFormat, screenName) are listed with types only, with no descriptions. Their purpose, valid values, and relationships are entirely unexplained, relying solely on parameter names.

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 title suggests retrieving a list by user ID or screen name, and the description mentions 'Group: List' and 'Billing per call' but does not explicitly state the tool's function. The scope of 'list' is ambiguous, and the description lacks a clear statement of what the tool does beyond the title.

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. The description only includes a link for details and billing info, with no indication of appropriate use cases 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 exist, so the description carries the full burden of behavioral disclosure. It only states billing credits and provides no information about authentication, return format, pagination, side effects, or typical use cases.

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 short but at the cost of under-specification. The first sentence duplicates the title, and the second adds billing info—neither contributes to understanding the tool's functionality. This is not concise; it is merely sparse.

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, no annotations, and opaque parameters, this description is severely incomplete. It fails to explain what the tool returns, how to use the parameters, or any behavioral context, making it inadequate for reliable 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?

Schema description coverage is 0%, and the description does not explain any of the five parameters (count, cursor, listId, proxyUrl, resFormat). The agent receives no semantic help beyond parameter names, which is insufficient 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 merely restates the tool name and title ('Get List Latest Tweets Timeline V2') with no additional explanation. It uses a verb and resource but adds no new meaning beyond what the name already conveys, making it essentially a tautology.

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 context, prerequisites, or exclusions are provided, leaving the agent to guess based solely on the name.

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 bears full responsibility for behavioral disclosure. The description only states billing (1 credit per call) and a link to external documentation, which is not accessible to the agent. It does not disclose return format, pagination behavior, authentication requirements, or any side effects. The tool name suggests a read operation, but the description does not explicitly state it is a read-only operation or whether it requires authentication.

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 but under-specified. It is not concise because it omits essential information, leaving the agent to rely on the URL and a vague 'Group: List' label. It is not front-loaded with critical details; it only provides a link and billing info. While it is only one sentence, the content is insufficient for the agent's needs, making it a case of under-specification rather than effective 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?

The tool has 5 parameters, no output schema, and no annotations. The description provides only a URL and billing info, which is far from complete. It does not mention whether parameters are required, what the response looks like, how pagination works (cursor is present), or that proxyUrl is likely needed for network access. Given the tool's complexity (5 params) and lack of structured metadata, the description is severely inadequate.

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 5 parameters, but schema description coverage is 0% (no descriptions in schema). The description does not explain any parameters. The parameter names (count, cursor, listId, proxyUrl, resFormat) are somewhat self-explanatory, but the description adds no meaning. Since there are 5 parameters with zero coverage, the description should compensate but does not. The external link might contain details, but it is not accessible. Score 2 because some parameter semantics can be inferred from names and typical API patterns, but the description adds nothing.

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 name 'get_base_apitools_listMembersByListId' and title 'Get List Members By ListId' make the purpose clear: retrieve members of a Twitter list by ID. The description's single sentence 'See details https://... Group: List. Billing per call: 1 Credits.' adds no purpose clarification beyond what the title conveys, and it is essentially a link and metadata, not a functional description. Purpose is clear from name/title but the description does not enhance 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. It only includes a link to external docs and billing information. There is no mention of use cases, prerequisites, or distinctions from sibling tools like `listMembersByListIdV2` or other list-related tools. The external link is not considered sufficient guidance within the description itself.

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 transparency, but it fails entirely. It doesn't mention parameters like pagination (cursor), output format, rate limits, authentication, or data sensitivity. The billing note '1 Credits' is minor and doesn't cover typical behavioral aspects. Nothing about what happens or what's returned.

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 short, which is concise, but it's under-specified rather than appropriately concise. It lacks any substantive information that would justify its brevity. However, it does front-load the basic purpose name and format.

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 annotations, no output schema, and 5 undocumented parameters, the description is grossly incomplete. It fails to explain usage patterns, response structure, required inputs (no required params), or any constraints. This is far below the minimum viable level for a complex API 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 provides zero parameter explanation. Parameters like count, cursor, listId, proxyUrl, and resFormat are entirely unexplained, leaving the agent with no idea of expected formats or default behaviors. The description does not compensate for the low 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 merely repeats the tool's name and title ('Get List Members By ListId V2') with no additional detail about what it does or what it returns. It adds only a group label and billing note, which don't clarify the operation. It's almost a tautology, but it does convey a basic API action.

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 prerequisites, context, or comparisons with sibling tools like listMembersByListId. The description's 'Group: List' is trivial and not helpful for choosing among the many list-related 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 burden of behavioral disclosure. The description only states 'login by userName and passwrd' and 'Billing per call: 1 Credits', which does not disclose what happens on success/failure, whether credentials are stored, or any side effects. The billing note is trivial and not behavioral.

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 short, but this is under-specification rather than conciseness. It includes a billing note that is not useful for tool selection, and the phrase 'Group: other' is unclear. The description does not earn its place as it provides no actionable information.

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 8 parameters, no annotations, no output schema, and 0% schema description coverage, the description is completely inadequate. It does not explain the login flow, what the response contains, or how to handle authentication. The tool is a login operation with significant complexity, and the description fails to address any of 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?

Schema description coverage is 0%, and the description does not explain any of the 8 parameters. The schema only provides titles (e.g., 'email', 'apiKey', 'faCode'), but the description does not clarify which are required, how they relate to 'userName and passwrd', or what formats are expected. The description mentions 'userName' and 'passwrd' but the schema has 'email' and 'password', creating ambiguity.

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 'login by userName and passwrd' is a tautology of the tool name and title, providing no additional clarity about what the tool does beyond restating the name. It does not specify the resource or action beyond 'login', and it fails to distinguish this from sibling tools like get_base_apitools_login2FA or post_base_apitools_loginPost.

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. The description does not mention prerequisites, context, or exclusions, and the sibling tools include other login-related tools (e.g., login2FA, loginPost) that could be confused with this one.

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 exist, so the description carries the full burden of disclosing behavior. The description only repeats the title and billing info, giving zero information about side effects (e.g., generating a session token), required prior steps (e.g., obtaining a code via email/SMS), or consequences of failure. It is utterly non-transparent.

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 short, which is concise, but it is under-specified rather than efficiently informative. It wastes the limited text on trivial billing info ('Billing per call: 1 Credits.') while omitting essential operational details. The structure is a single sentence followed by metadata, not front-loaded with actionable information.

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, no annotations, and no parameter descriptions, the description fails to provide any context. It does not explain authentication flow, required preconditions, return format, or error conditions. For a login-related tool, this is critically 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 input schema defines 4 parameters but provides no titles with descriptions, and schema description coverage is 0%. The description does not explain any parameter. 'code' presumably relates to the login code, but 'apiKey', 'proxyUrl', and 'resFormat' are entirely unexplained. The description adds no value beyond the parameter names.

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 title 'login by code' and description 'login by code Group: other. Billing per call: 1 Credits.' provide a basic purpose: this tool logs in using a code. However, it does not specify what the code is (e.g., 2FA code, verification code) or what resource is being accessed, leading to ambiguity. It is not a tautology but lacks specificity and differentiation from sibling tools like get_base_apitools_login or post_base_apitools_loginPost.

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 login or loginPost. It does not explain the context (e.g., after an initial login, requiring a second factor). The 'Group: other' hint is minimal and not actionable. No exclusions or alternatives are mentioned.

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 disclose behavior. It only mentions a link and billing, omitting that this is a read operation, whether it requires authentication via ct0/auth_token, or any limits on tweet retrieval. The description adds almost no behavioral detail beyond what the schema itself 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 brief and to the point, consisting of one sentence with a link. It is not overloaded with fluff, but the link is a placeholder rather than substantive content. It effectively directs to external docs, which is a form of conciseness, but could be more informative in-line.

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's moderate complexity (8 params, no output schema), the description is insufficient. It fails to define what the tool returns, the purpose of 'mentionsTimeline', or any context for parameters like ct0 and auth_token. The external link provides some depth, but the description alone is not adequate for an agent to use the tool 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 only 25%, with descriptions for maxId and sinceId, but other parameters (ct0, proxyUrl, resFormat, trim_user, auth_token, include_entities) are undocumented. The description does not explain these, so the burden falls on the schema. Since the schema covers a quarter, a 3 is baseline, but the lack of additional context for the remaining 75% is a 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 links to an external API reference and identifies the group as 'Tweets' with a billing cost, but it does not explicitly state what 'mentionsTimeline' does beyond that. A clear statement like 'Retrieves tweets mentioning the authenticated user' is missing. However, the title and link hint at this, giving slight clarity.

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 siblings like homeTimeline or tweetTimeline. The external link assists but is not direct. No mention of prerequisites like authentication, or when to prefer it over similar timeline tools. Thus, minimal usage 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?

No annotations are present, and the description carries the full burden of behavioral disclosure. It fails to mention any side effects, required authentication, rate limits, or what happens on success/failure. Only billing and group are noted, which are not behavioral traits.

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 short, but this is under-specification rather than effective conciseness. It lacks essential information and doesn't structure content front-loaded with useful details. Every sentence is wasted on non-functional metadata.

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 6 parameters, no output schema, and no annotations, the description is completely inadequate for an agent to understand the tool's purpose, parameters, or expected behavior. It fails to cover any of the necessary context.

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 defines 6 parameters (ct0, apiKey, cursor, proxyUrl, resFormat, auth_token) but the description provides zero explanation of their purpose or format. With 0% schema coverage, the description must compensate entirely, and 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?

The description simply repeats the tool name ('notifications all') and adds billing/group metadata. It does not state what the tool does (e.g., retrieve all notifications) and is essentially a tautology, offering no distinction from siblings like notificationsMentions or notificationsVerified.

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. Sibling tools with similar scopes exist, but the description gives no context on selection criteria or exclusions.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. The only extra information is billing cost ('Billing per call: 1 Credits'), which is cost-related, not behavioral. There is no mention of what the tool returns, side effects, authentication needs, or limitations. This is severely lacking.

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 short, which might appear concise, but it is under-specified rather than concise. It contains only a tautological phrase, a group label, and a billing note. There is no wasted verbiage, but it is insufficient to be considered effective conciseness; it simply fails to provide necessary information.

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 6 parameters, no annotations, no output schema, and a complex domain (notifications/mentions), the description is completely inadequate. It provides no context about pagination (cursor), response format, authentication requirements, or how it relates to other notification tools. The description is far from complete for a tool of this complexity.

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 6 parameters and 0% schema description coverage, the description adds no semantic value to the parameters. It mentions none of the parameters (ct0, apiKey, cursor, proxyUrl, resFormat, auth_token), leaving an agent completely in the dark about their purpose, format, or defaults. The description fails to compensate for the schema's lack of detail.

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 'notifications mentions' is essentially a tautology of the tool name, providing no verb or resource clarity. It repeats the name without stating what action the tool performs or what it retrieves. Distinguishing from siblings like notificationsAll or mentionsTimeline is impossible based on this description.

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 its siblings. The description offers no context, exclusions, or alternatives despite the presence of closely related tools such as notificationsAll and notificationsVerified. An agent would have no basis to choose this tool over others.

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 full responsibility for disclosing behavioral traits. It only mentions billing per call and the group, but does not state whether the tool reads data, writes data, requires authentication, has side effects, rate limits, or what the response contains. The description is essentially a stub with no behavioral information.

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 short, but this is not conciseness; it is under-specification. It consists of two terse sentences that add minimal value (group and billing). There is no structure or front-loading of critical details, and the few words used do not earn their place because they do not inform the agent about tool functionality.

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 that the tool has 6 parameters with 0% schema coverage, no output schema, and no annotations, the description should compensate by explaining what the tool returns and how parameters relate to the operation. It does not. The description is completely inadequate for an agent to understand the tool's purpose, usage, or expected inputs/outputs, especially in a large sibling group.

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 6 parameters (ct0, apiKey, cursor, proxyUrl, resFormat, auth_token) with no descriptions, and schema coverage is 0%. The description adds no explanations for any of these parameters. Since the schema itself is unhelpful and the description provides zero parameter context, agents have no guidance on how to fill these 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 'notifications verified Group: notifications. Billing per call: 1 Credits.' merely restates the tool name and title without specifying any action or resource. It lacks a verb and provides no indication of what the tool does, such as retrieving verified notifications or performing some administrative function. The only additional info is the group and billing, which does not clarify 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?

There is no guidance on when to use this tool versus alternatives. Sibling tools like get_base_apitools_notificationsAll and get_base_apitools_notificationsMentions exist, but the description does not explain how 'notifications verified' differs or in which scenarios it should be preferred. No context, prerequisites, or use cases are 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 behavioral information is disclosed beyond the tool name. The description does not mention side effects, return values, authentication needs, or rate limits. With no annotations provided, the description completely fails to compensate.

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 short, which is concise, but this is under-specification rather than effective brevity. It lacks any structural elements like headings or a summary that would help an agent parse critical information.

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's moderate complexity (5 params, no output schema, no annotations) and a large set of siblings, the description is utterly inadequate. It provides almost no contextual information 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 only 20%, with only 'auth_token' documented in the schema. The description adds no insight into parameters like 'cursor', 'tweetId', 'proxyUrl', or 'resFormat'. This is a significant gap for a 5-parameter tool.

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?