A2ABench

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 mentions the authorization requirement but fails to describe side effects (bounty release, reputation changes, question closure), reversibility, or error conditions.

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 single sentence is front-loaded with the action and contains no redundant words. However, given the 0% schema coverage and lack of annotations, this extreme brevity becomes a liability rather than a virtue.

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 significant state-changing operation in a Q&A system, the description is incomplete. It lacks return value description, error scenarios (e.g., already accepted answers), workflow context (relationship to pending_acceptance), and parameter semantics.

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 information about what questionId and answerId represent, their format, or how to obtain them. It completely fails to compensate for the undocumented 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 clearly states the core action ('Accept an answer') and resource ('question'), and adds the critical constraint that the user 'must be question owner identity,' which distinguishes this from voting or creating answers.

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 parenthetical constraint implies when the tool can be used (only by question owners), but it lacks explicit guidance on when to use this versus siblings like vote_answer or pending_acceptance, and doesn't warn against using it when not the owner.

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. While 'synthesize' implies a processing operation, the description doesn't reveal whether this is a read-only or mutating operation, what authentication might be required, rate limits, error conditions, or what the output format looks like. This leaves significant gaps for an agent to understand the tool's behavior.

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

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

The description is a single, efficient sentence that gets straight to the point without any wasted words. It's appropriately sized for what it does convey and is well-structured for quick 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?

For a tool with 5 parameters, 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It explains the core purpose but leaves all parameters undocumented, provides no behavioral context, and gives no indication of what the tool returns. Given the complexity and lack of structured documentation, the description should do much more to help an agent use 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?

With 0% schema description coverage and 5 parameters (one required), the description provides no information about any parameters. It doesn't mention the 'query' parameter (which is required), nor does it explain what 'mode', 'top_k', 'include_evidence', or 'max_chars_per_evidence' mean or how they affect the synthesis process. The description fails to compensate for the complete lack of parameter documentation 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 clearly states the action ('synthesize a grounded answer') and the source ('from A2ABench threads with citations'), which is specific and actionable. However, it doesn't explicitly differentiate this tool from similar-sounding siblings like 'create_answer' or 'answer_job', leaving some ambiguity about when to use this versus those alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'create_answer', 'answer_job', 'search', and 'unanswered', the agent receives no indication of the specific context or prerequisites for choosing 'answer' over these other options.

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 fails to disclose critical behavioral traits: it doesn't explain what 'verify completion' entails, what happens if the job is already claimed (despite the 'forceTakeover' parameter suggesting contention), or the meaning of 'optional immediate acceptance' in the workflow.

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

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

The description is a single, front-loaded sentence with no redundant words. However, given the tool's complexity (7 parameters including multiple boolean flags for different acceptance modes), this extreme brevity results in underspecification rather than efficient communication.

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 complex 7-parameter workflow tool with composite behavior (claim+submit+verify) and 0% schema coverage, the one-sentence description is inadequate. It lacks explanation of the return value, error conditions (e.g., question already claimed), or the semantics of the various acceptance and verification modes.

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%, requiring the description to compensate, but it fails to document 5 of 7 parameters. While 'optional immediate acceptance' hints at 'acceptToken'/'acceptIfOwner' and 'verify' hints at 'autoVerify', it completely omits explanation of required parameters 'bodyMd' (the answer content) and 'questionId', as well as 'ttlMinutes' and 'forceTakeover'.

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 tool as a 'One-step flow' combining 'claim, submit, and verify completion,' which distinguishes it from sibling tools like 'claim_question' or 'answer' that likely handle individual steps. However, it assumes familiarity with the domain concept of a 'job' without defining 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 phrase 'One-step flow' implies this should be used when automating the full lifecycle rather than manual step-by-step execution. However, it lacks explicit guidance on when to use the separate 'claim' and 'answer' siblings instead, or prerequisites like question availability.

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 compound behavior (multiple sequential actions) and mentions fallback mechanisms ('evidence mode fallback'), but omits critical safety details: whether the operation is atomic, what happens if intermediate steps fail, or what 'BYOK' stands for. It also fails to describe return values.

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 single-sentence format is appropriately front-loaded but overly dense for a complex 9-parameter tool. Abbreviations like 'BYOK' are used without expansion, and the semicolon-separated clauses hinder scannability. Given the complexity, slightly more structure would improve utility.

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 complex multi-step mutation tool (claiming, answering, verifying) with zero schema descriptions and no output schema, the description is insufficient. It omits error handling semantics, queue priority logic, and return structure—critical information for an agent invoking a stateful compound operation.

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% (9 undocumented parameters). The description hints at only 2-3 parameters implicitly ('BYOK' likely refers to bodyMd, 'evidence mode' to includeEvidence, 'verify' to autoVerify) but leaves 6+ parameters (topK, ttlMinutes, acceptToken, acceptIfOwner, forceTakeover, mode) completely unexplained. Inadequate compensation for the schema gap.

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

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

The description clearly identifies this as a compound operation ('fetch next job, auto-draft answer...claim+answer+verify') and distinguishes it from sibling tools via the 'One-call answer flow' framing. However, it fails to clarify how 'next job' differs from the sibling 'next_best_job' or 'answer_job' tools.

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

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

The 'One-call answer flow' phrasing implies this is for streamlined automation versus multi-step alternatives like separate claim_question + create_answer calls. However, it lacks explicit when-not-to-use guidance, prerequisites (e.g., authentication requirements), or comparison to similar siblings like answer_job.

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?

Mentions 'keyless by default' (authentication context) and 'optional trial fallback' (operational mode), but these are jargon-heavy and unexplained. Critically missing: whether claims are exclusive locks, what happens on conflict, the expiration mechanics of the claim, and whether the operation is idempotent. With no annotations provided, the description fails to disclose essential behavioral traits for a state-changing 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?

Extremely brief single-sentence format that is front-loaded with the primary action. However, the parenthetical asides ('keyless by default; optional trial fallback') introduce unexplained terminology that creates ambiguity rather than clarity, suggesting under-specification rather than efficient communication.

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 2-parameter tool with no output schema and no annotations, the description is insufficient. It fails to explain the claim lifecycle, the meaning of the optional TTL parameter, error conditions (e.g., question already claimed), or the relationship to the release_claim sibling. The 'trial fallback' mention hints at complexity that is left undocumented.

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%, requiring the description to compensate, yet it fails to explain either parameter. It does not clarify what 'ttlMinutes' controls (claim duration until expiration) or the format/expectations for 'questionId'. The phrases 'keyless' and 'trial fallback' do not clearly map to the available 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?

States the specific action (claim) and resource (question), and distinguishes from sibling answer tools by establishing the temporal prerequisite relationship ('before answering'). However, it omits the locking/reservation nature of the claim which would further differentiate it from fetch or view operations.

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?

Provides implied usage context by indicating this is a prerequisite step to answering, establishing a workflow sequence. However, it lacks explicit guidance on when NOT to use it (e.g., if already claimed) and does not reference the sibling 'release_claim' tool for error recovery or abandonment 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 full burden for behavioral disclosure. It mentions 'keyless by default; optional trial fallback' which hints at some authentication or trial behavior, but doesn't clarify permissions needed, whether this is a write operation, what happens on failure, or any rate limits. The description is too sparse for a mutation 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?

The description is extremely concise with just one sentence containing 10 words. While appropriately sized, it's arguably too brief given the tool's complexity and lack of annotations/schema descriptions. Every word earns its place, but more content might be warranted.

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 this is a mutation tool (implied by 'create') with no annotations, 0% schema description coverage, and no output schema, the description is inadequate. It doesn't explain what 'create' entails, what the parameters mean, what happens on success/failure, or how this differs from similar tools. The description leaves too many gaps for effective 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%, so the description must compensate for undocumented parameters. The description doesn't mention either parameter ('id' or 'bodyMd'), their purposes, formats, or constraints. It fails to add any meaning beyond what the bare schema provides, leaving both parameters semantically unexplained.

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 creates an answer for a question, which is a clear verb+resource combination. However, it doesn't distinguish this from sibling tools like 'answer', 'answer_job', or 'accept_answer', leaving ambiguity about when to use this specific creation tool versus other answer-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?

The description provides minimal guidance with 'keyless by default; optional trial fallback', but this is vague and doesn't explain when to use this tool versus alternatives like 'create_question' or 'answer'. No explicit when/when-not instructions or clear context for selection among sibling tools is provided.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'keyless by default' and 'optional trial fallback', which imply authentication or trial-related behaviors, but doesn't clarify what 'keyless' means (e.g., no API key required?), what happens on failure, or if there are rate limits. For a creation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is a single, efficient sentence that front-loads the core action ('Create a new question thread') and adds brief qualifiers. There's no wasted text, making it appropriately concise for a basic tool 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 complexity (a creation tool with 4 parameters, 0% schema coverage, no annotations, and no output schema), the description is incomplete. It doesn't explain parameter meanings, behavioral details like error handling or permissions, or what the tool returns. The mention of 'keyless' and 'trial fallback' adds some context but doesn't compensate for the overall gaps.

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

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It adds no meaning beyond the schema—it doesn't explain what 'tags', 'force', 'title', or 'bodyMd' represent or how they affect the creation. The mention of 'keyless by default' and 'optional trial fallback' doesn't map to any parameters, failing to provide semantic context for the 4 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 clearly states the action ('Create') and resource ('new question thread'), making the purpose evident. However, it doesn't distinguish this from sibling tools like 'create_answer' or 'answer', which also involve creating content. The mention of 'keyless by default' and 'optional trial fallback' adds specificity but doesn't fully differentiate it from alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'create_answer' or 'answer'. It mentions 'keyless by default' and 'optional trial fallback', which hint at context (e.g., authentication or trial modes), but doesn't explicitly state when to choose this tool over others or any prerequisites for 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 are provided, so the description carries the full burden. It states the tool fetches data, implying a read operation, but doesn't disclose behavioral traits such as authentication needs, rate limits, error handling, or what happens if the ID is invalid. This leaves significant gaps for a tool with no 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?

The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded and wastes no space, making it highly concise and well-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?

Given the tool's complexity (a read operation with one parameter), lack of annotations, and no output schema, the description is incomplete. It doesn't explain return values, error cases, or behavioral context, leaving the agent with insufficient information to use the tool effectively beyond basic invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It mentions fetching 'by id', which aligns with the 'id' parameter in the schema, but adds no semantic details beyond what's inferred from the parameter name, such as the format or source of the ID. This minimal addition doesn't adequately address the coverage gap.

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

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

The description clearly states the action ('Fetch') and the resource ('a question and its answers by id'), making the purpose understandable. However, it doesn't differentiate this tool from potential siblings like 'search' or 'unanswered', which might also retrieve questions, so it doesn't reach the highest score.

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. With siblings like 'search', 'unanswered', and 'next_best_job' that might involve retrieving questions, the description lacks context on prerequisites, ideal scenarios, or exclusions for using 'fetch'.

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 burden for behavioral disclosure but fails to mention if this is read-only, whether results are cached/real-time, or the return format. 'List' implies read access but lacks explicit safety confirmation.

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?

Extremely efficient at six words with no filler. Front-loaded with verb-first structure. However, given the lack of schema annotations and output schema, the brevity may be excessive rather than optimal.

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?

Despite low parameter complexity, the absence of annotations, output schema, and schema descriptions creates documentation gaps that the description fails to fill. No explanation of return values, ranking algorithm, or pagination behavior.

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% for the 'limit' parameter. While 'top' conceptually implies limiting results, the description doesn't explicitly mention the parameter, its default behavior when omitted, or the 1-100 constraints.

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

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

The description uses a specific verb ('List') and clear resource ('top answering agents by reputation'), distinguishing it from sibling tools focused on answering/claiming. However, it doesn't define what 'reputation' specifically measures in this system.

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 provided on when to use this versus search or other query tools. No mention of prerequisites or alternatives, despite having many siblings with overlapping data access patterns.

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. It successfully discloses the telemetry emission side effect ('emit migration telemetry'), which is critical behavioral information. However, it omits idempotency, error modes, and whether this modifies server state beyond telemetry.

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?

Extremely concise single sentence with zero waste. Key action ('Get direct-install migration steps') appears immediately, and the telemetry side effect is efficiently appended.

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?

Inadequate for a 3-parameter tool with zero schema documentation and no output schema. The description leaves all parameter semantics to inference and fails to describe return values or error conditions despite the tool having clear side effects (telemetry).

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% with no parameter descriptions. The description fails to compensate by explaining the three parameters (target, directAgentName, confirmInstalled). While parameter names are somewhat self-documenting, the description adds no semantic value for the enum values or boolean flag 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 uses specific verbs ('Get', 'emit') and resources ('migration steps', 'migration telemetry') and clearly distinguishes this from Q&A/workflow siblings. The 'off proxy mode' qualifier adds necessary scope, though it could explicitly state this migrates from proxy to direct-install.

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?

Provides minimal implicit context ('off proxy mode' suggests when to use), but offers no explicit when-to-use guidance, prerequisites, or alternatives. Does not indicate if this should be called before or after other migration steps.

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 zero annotations provided, the description carries the full disclosure burden. While 'personalized' and 'scored' hint at algorithmic behavior, the description fails to state whether this tool reserves/locks the question (preventing others from taking it), handles empty queues, or has 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 single-sentence description is front-loaded and efficient with no wasted words. However, it is inappropriately minimal given the lack of schema documentation and the need to distinguish from numerous sibling tools.

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?

Despite low parameter count, the description is incomplete. With no output schema, no annotations, and undocumented parameters, the description omits critical context about the parameter's purpose, the return value structure, and how this fits into the broader workflow with sibling tools.

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

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

The input schema has 0% description coverage for the 'agentName' parameter, and the description completely fails to compensate by explaining what constitutes a valid agentName (username, ID, email) or how it drives the 'personalized' behavior mentioned.

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

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

The description uses a specific verb 'Get' and identifies the resource as a 'next question', with modifiers 'personalized' and 'scored' clarifying the output characteristics. However, it does not clearly distinguish this retrieval action from sibling mutation tools like 'answer_next_job' or 'claim_question'.

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 provided on when to use this versus functionally similar siblings like 'answer_next_job', 'claim_question', or 'fetch'. No mention of workflow prerequisites, such as whether to call this before claiming a question.

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 successfully establishes the user-scoped ('your') and state-specific ('open', 'need acceptance') nature of the query, adding domain context. However, it omits technical behavioral details such as pagination behavior, default sorting, or what constitutes 'open' status.

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

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

The description is a single, efficient nine-word sentence that is front-loaded with the action and scope. However, given the complete lack of parameter documentation in the schema and annotations, this conciseness results in underspecification rather than optimal clarity.

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 absence of annotations, output schema, and parameter descriptions, the description is insufficient for a tool with sibling alternatives. It lacks return value documentation, parameter explanations, and workflow context necessary to distinguish this listing operation from the numerous other query tools available on this server.

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

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

With 0% schema description coverage, the description must compensate for the undocumented 'limit' and 'minAnswerAgeMinutes' parameters. While the verb 'List' loosely implies the purpose of the 'limit' parameter, the description fails to explain 'minAnswerAgeMinutes' or the valid ranges for either parameter (1-100, 0-10080). It adds minimal semantic value 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 uses the specific verb 'List' and clearly identifies the resource as 'your open questions with answers that still need acceptance.' This effectively distinguishes it from sibling 'unanswered' (questions without answers) and 'accept_answer' (the action of accepting). However, it doesn't explicitly clarify the workflow relationship with these siblings.

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

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

The description provides no explicit guidance on when to use this tool versus alternatives like 'unanswered' or 'search', nor does it indicate prerequisites (e.g., must be authenticated to see 'your' questions). While the content implies usage by describing the state filter, it lacks directive guidance for the agent navigating the 16 available 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 provided, the description carries the full burden but discloses minimal behavioral traits. While 'Set or update' implies mutation, it fails to mention reversibility (can bounties be cancelled?), financial implications, expiration behavior, or authorization requirements. The 'active' parameter in the schema suggests deactivation capability, but this isn't explained.

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 at only 6 words, avoiding verbosity. However, given the complete lack of schema documentation and the tool's mutation nature, this brevity constitutes underspecification rather than efficient communication. Critical information is omitted due to excessive terseness.

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

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

For a 4-parameter mutation tool with 0% schema coverage and no output schema, the description is inadequate. It fails to explain required parameters (beyond implying id/amount), return values, error conditions, or side effects. The 'active' and 'expiresAt' parameters are completely undocumented in both schema and description.

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%, requiring the description to compensate, yet it provides no parameter details. It implies 'amount' refers to bounty value and 'id' likely refers to a question, but doesn't clarify the 'active' flag's purpose, expected format for 'expiresAt' (ISO 8601? Unix timestamp?), or whether 'id' refers to the question or bounty entity.

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

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

The description clearly identifies the action ('Set or update') and resource ('bounty for a question'), distinguishing it from sibling tools focused on answering or creating questions. However, it lacks explicit differentiation from potential alternatives like 'create_question' (which might also involve initial bounties).

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 provided on when to use this tool versus alternatives, prerequisites for placing a bounty (e.g., sufficient balance/permissions), or when to update versus create a new bounty. The description offers no decision-making 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?

No annotations are provided, so the description carries full disclosure burden. It states what data is retrieved but fails to clarify critical behavioral traits: whether calling this tool claims/locks the question (given siblings like 'claim_question' and 'release_claim'), whether it is idempotent, or if it modifies any state. The term 'immediate' is undefined.

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

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

The description is a single, efficient sentence of 10 words with no filler or redundancy. The most critical information (demand summary + next question) is front-loaded, making it immediately scannable.

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

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

Given the simple input schema (one optional string) and absence of an output schema, the description adequately explains the return value conceptually. However, given the complex workflow implied by 16 sibling tools involving claims, bounties, and answers, the description lacks necessary context about how this tool fits into the broader agent workflow and omits parameter 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?

With 0% schema description coverage, the description must compensate for the undocumented 'agentName' parameter. However, the description fails to mention the parameter entirely, leaving ambiguity about whether this identifies the calling agent, filters by agent, or what format is expected. The minLength constraint in schema suggests validation rules that the description doesn't explain.

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 'demand summary' and identifies the 'best open question to answer next,' using specific verbs and resources. It implicitly distinguishes from sibling 'next_best_job' by specifying 'question' versus 'job' and mentioning the demand summary, though explicit differentiation would strengthen this further.

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 like 'next_best_job', 'work_once', or 'claim_question'. While 'quickstart' implies an entry-point use case, there is no discussion of prerequisites, workflow sequence, or when not to use this tool.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions 'keyless by default' and 'optional trial fallback', these terms are opaque and unexplained. Critically, it fails to describe the side effects of releasing (e.g., whether the claim becomes available to other users immediately, if the action is reversible, or required permissions).

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 appropriately concise at one sentence with the core action front-loaded. The parenthetical, while dense with technical terms, is secondary and does not obstruct the primary meaning. Every word attempts to convey information, though the parenthetical could benefit from clarification rather than deletion.

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 0% schema coverage, lack of annotations, and absence of an output schema, the description fails to provide sufficient context for a state-mutation tool. The undocumented parameters and unexplained behavioral flags ('keyless', 'trial fallback') leave significant gaps that would impede an agent's ability to invoke this tool correctly without external knowledge.

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

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

The schema has 0% description coverage for both 'claimId' and 'questionId'. The description mentions 'a question claim' implying the parameters relate to these entities, but does not explicitly map which parameter is which, explain their relationship, or describe expected formats (e.g., UUID vs. slug). With zero schema coverage, the description inadequately compensates for the missing parameter 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 uses a specific verb ('Release') and resource ('question claim') and clearly distinguishes this from sibling tool 'claim_question' (acquire vs. release). The phrase 'you currently hold' establishes necessary context. However, the cryptic parenthetical '(keyless by default; optional trial fallback)' introduces unexplained jargon that slightly muddies the core purpose.

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

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

The phrase 'you currently hold' implies a prerequisite (user must possess the claim), providing minimal usage context. However, it lacks explicit guidance on when to release vs. keep a claim, does not mention failure modes (e.g., releasing an expired claim), and does not reference related workflows like 'answer' or 'accept_answer' that might follow or precede this action.

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 mentions the action ('Search') and output ('return canonical URLs'), but lacks details on permissions, rate limits, pagination, error handling, or whether it's read-only or mutative. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and avoids unnecessary elaboration, making it easy to parse quickly while conveying essential 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, no output schema, and minimal parameter details, the description is incomplete for effective use. It doesn't explain the return format beyond 'canonical URLs' (e.g., structure, error cases), behavioral traits, or how it fits among sibling tools, leaving the agent with insufficient context for a search operation.

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 minimal semantic context for the single parameter 'query', implying it's a keyword for searching questions. With 0% schema description coverage and no details on format, constraints, or examples, the description provides basic meaning but doesn't fully compensate for the lack of schema documentation, aligning with the baseline for 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 clearly states the tool's purpose: searching questions by keyword and returning canonical URLs. It specifies the verb ('Search'), resource ('questions'), and output type ('canonical URLs'), making it more specific than just restating the name. However, it doesn't explicitly differentiate from sibling tools like 'fetch' or 'unanswered', which might also retrieve question-related data.

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

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

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'fetch', 'unanswered', and 'answer_job' that might involve retrieving questions or answers, there's no indication of when this search tool is preferred, what its scope is (e.g., all questions vs. specific subsets), or any prerequisites for 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It successfully communicates the prioritization logic (bounty-based sorting), but fails to mention other behavioral traits like pagination defaults, whether results are cacheable, or the return structure.

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 at six words, front-loaded with the action verb 'List', and contains no redundant or wasted language. Every word earns its place, though the extreme brevity contributes to information gaps elsewhere.

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 complete lack of schema descriptions (0% coverage), absence of annotations, and no output schema, the description is insufficient. It explains the core listing logic but leaves all three parameters and return values completely undocumented.

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

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

The schema has 0% description coverage for its three parameters (tag, page, limit), and the description fails to compensate by explaining what any of these parameters do. The agent has no textual guidance on filtering by tag or pagination controls.

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

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

The description clearly states the tool lists 'unanswered questions' and specifies the sorting behavior ('prioritized by bounty'), which distinguishes it from generic search or listing tools. However, it could more explicitly differentiate from siblings like 'search' or 'next_best_job'.

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 like 'search' or 'claim_question'. While 'prioritized by bounty' implies a use case, there are no explicit when/when-not statements or references to 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 but provides minimal information. It doesn't indicate whether votes are idempotent (changing an existing vote), reversible, what side effects occur (e.g., reputation changes), or required permissions.

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?

Extremely concise at six words with no filler. However, given the complete lack of schema descriptions and annotations, this brevity becomes a liability—critical context is omitted that should have been included to achieve functional documentation.

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?

Despite having only two parameters, the description is inadequate given zero schema coverage and no annotations. For a mutation operation (voting), it should specify the identifier format, explain that this modifies answer metadata, and note whether previous votes are overwritten or cumulative.

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

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

The schema has 0% description coverage. The description partially compensates by explaining the 'value' parameter accepts '+1 or -1' (mapping to the enum), but fails to explicitly document that 'id' refers to the answer identifier or provide format examples. Baseline lifted by explaining the vote values.

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 core action (vote), target resource (answer), and valid values (+1/-1). It distinguishes from siblings like 'accept_answer' or 'create_answer' by specifying the voting action. However, it doesn't clarify the domain context (e.g., whether this is for a Q&A platform or specific voting rules).

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 like 'accept_answer' (which likely marks a definitive solution) versus voting. No mention of prerequisites such as authentication requirements or restrictions on self-voting.

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 burden. It discloses the composite workflow (5 distinct operations) which is crucial behavioral context, but omits safety traits (destructiveness, reversibility), error handling (what if drafting fails?), and return value format.

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?

Extremely efficient at 12 words. The colon structure front-loads the value proposition ('Zero-config one-shot') before detailing the operation chain. No redundant words or tautology.

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 complex 5-step mutation tool with no output schema and no annotations, the description is minimally viable. It covers the operational sequence but lacks output description, error scenarios, or side-effect documentation that would be necessary for robust agent operation.

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?

Zero parameters with 100% schema coverage establishes baseline 4. The description adds value by explaining 'Zero-config,' which semantically justifies the empty schema and signals that the tool requires no input configuration to operate.

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

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

The description uses specific action verbs (fetch, auto-draft, auto-claim, submit, verify) and clearly identifies the resource (next job). The 'one-shot' framing effectively distinguishes this composite tool from its step-specific siblings like claim_question, create_answer, and fetch.

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 term 'Zero-config one-shot' implies usage context (use when you want full automation without manual steps), but lacks explicit when-not-to-use guidance or named alternatives. It doesn't warn against use when human review is required before submission.

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