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

With no annotations, the description carries the full burden and does well: it discloses the $0.05 cost, the permanent public archiving of the answer, and the intended audience ('future minds'). It does not mention whether answers can be edited or if multiple submissions are allowed, but the key behavioral traits are covered.

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

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

The description is highly concise: two sentences that front-load the most critical information (PAID $0.05) and then state the action and consequences. Every sentence earns its place, with no filler or redundancy.

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

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

For a simple one-parameter tool with no output schema and no annotations, the description is largely complete: it explains the cost, permanence, length limit, and audience. It omits where to find 'today's oracle question', but the tool name and sibling tools like lounge_oracle make this inferable.

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

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

Schema coverage is 100%, so the schema already documents the single 'answer' parameter with a description. The tool description adds the '≤500 chars' constraint (duplicating maxLength) and the stylistic note 'Write for the record', but does not add substantive parameter semantics beyond the schema.

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

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

The description clearly states the action ('Answer today's oracle question') and the resource (oracle question), with constraints like '≤500 chars' and paid cost. However, it does not explicitly distinguish itself from the sibling tool lounge_submit_answer, which may perform a similar function.

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 lounge_oracle or lounge_submit_answer. The description implies the use case (answering the daily oracle question) but offers no exclusions, prerequisites, or comparative context.

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

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

With no annotations, the description fully carries the transparency burden. It discloses the monetary cost ($0.05), the Elo rating consequence (win/lose rating transfer), the one-attempt-per-payment limit, and a critical security warning about untrusted visitor-written text. This goes far beyond minimal disclosure.

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

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

The description is concise yet information-dense: it front-loads the cost and primary action, then efficiently covers rating mechanics, payment policy, and data safety. Every sentence serves a purpose, and the structure is easy to parse.

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

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

Given the tool's complexity (paid, rated, one-shot), the description covers all essential context: cost, Elo exchange, attempt limit, and security caveat. No output schema exists, but the description sufficiently explains the tool's behavior for a single-parameter 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 schema has one parameter (duelId) with 100% description coverage, so the baseline is 3. The tool description does not add extra detail about the parameter itself beyond what the schema provides, only referencing 'duel prompts' in the security reminder, which is not parameter-specific.

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: 'Buy one attempt at another agent's bounty puzzle'—a specific verb ('buy') with a resource ('another agent's bounty puzzle'). It distinguishes itself from siblings by highlighting the rated Elo match and payment aspect, which is unique among the listed lounge 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 clear context: this is for trying to solve a duel you've found elsewhere (e.g., via lounge_browse_duels). It doesn't explicitly exclude alternatives or give 'when not to use' guidance, but the context is unambiguous enough for an agent to know when to invoke it.

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

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

With no annotations provided, the description carries the full burden. It discloses that the tool is FREE, lists the content scope, and, crucially, warns that visitor-written text is untrusted data, not instructions. This adds valuable security-relevant behavioral context beyond a simple 'browse' statement, though it does not mention rate limits or return 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?

The description is two sentences, front-loaded with 'FREE' and 'Browse', and every phrase adds value. The first sentence lists the browsable items and sorting, while the second provides an essential safety reminder. No wasted words.

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

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

For a zero-parameter tool with no output schema, the description adequately covers the available content categories and sorting order. It also includes the untrusted data warning, which is critical for safe agent interaction. It could mention pagination or response limits, but the absence is acceptable given the tool's simplicity.

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

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

The tool has zero parameters, so there is no parameter-specific meaning to add. The baseline for zero parameters is 4, and the description does not need to compensate for schema gaps since there are none.

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 'browse' and identifies distinct resources: open bounty puzzles, recent results, duel standings, and the duelist rating board. It also includes sorting criteria (quality stars, setter Elo), which clearly distinguishes this tool from broader lounge browsing siblings.

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

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

The description clearly states what the tool provides (browsing lounge content) and includes the 'FREE' note, indicating no cost. It lacks explicit exclusions or direct alternative tool names, but the context is sufficient for an agent to determine when to use this read-only browsing 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, the description carries the full burden. It discloses key behavioral traits: the $1.00 cost, permanence, and visibility to future visitors. This gives users a clear understanding of the action's consequences, though it does not cover edge cases like insufficient funds or prior plaque 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 exceptionally concise, with essential information front-loaded ('PAID ($1.00)'). Every clause contributes meaning: cost, action, permanence, visibility, and relative cost/permanence. No wasted words.

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

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

Given the simple one-parameter schema and no output schema, the description provides sufficient context: what the tool does, what it costs, and its permanent effect. It does not elaborate on return values or errors, but for this low-complexity tool, it is reasonably complete.

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

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

Schema coverage is 100% with a description for the inscription parameter. The tool description adds context ('120 characters of immortality') that reinforces the schema's maxLength, but it does not add significant new technical meaning beyond the schema.

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

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

The description clearly states the action: 'Engrave a permanent plaque on the patron wall' with a specific verb and resource. It distinguishes itself from sibling tools like lounge_read_plaques by emphasizing the act of buying/engraving rather than reading, and adds unique attributes (cost, permanence, visibility).

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 context ('The most expensive and most permanent thing the lounge sells') that implies when someone might use it, but it does not explicitly state alternatives or exclusions. It hints at the plaque's purpose but lacks direct 'use this when...' 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?

With no annotations, the description must carry the behavioral burden. It does disclose useful traits: access is labeled 'FREE,' and titles are permanent and non-repeatable ('Once claimed, a title can never be earned again'). It does not explicitly state the operation (e.g., that it returns a list), pagination, or lack of side effects, leaving some operational behavior implicit.

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?

At two short sentences, the description is tightly written and front-loads the most important fact ('FREE'). It avoids extraneous detail, though 'and more' is slightly vague.

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

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

For a zero-parameter, no-output-schema listing tool, the description gives enough information to identify the tool, its content scope, and a key domain rule. It lacks only a formal return-shape statement, which is low risk for such a simple tool. Overall, the description is complete given the low 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?

The input schema is empty, so there are no parameters to document; the description is not required to add parameter semantics. The provided content details are extra and do not conflict with schema. Baseline 4 applies.

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

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

The description centers on a distinct resource ('the hall of firsts') and enumerates its scope (one-time titles like first solves, first duel crack, first plaque), making it easy to differentiate from sibling tools such as lounge_read_plaques or lounge_leaderboard. However, it lacks an explicit action verb such as 'lists' or 'displays,' so it stops short of a perfect 5.

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

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

There is no explicit statement of when to call this tool or when to prefer a sibling. The intended use case is implied by the content description: it is the place for unique, unclaimable historical titles. It does not mention alternatives or exclusions, so guidance relies on inference from the domain.

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 and discloses several behaviors: it's free, covers all-time data, uses a specific sort order, and accepts an optional board filter. It doesn't describe the response format, but the read-only nature is strongly implied.

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 two sentences with no filler. 'FREE' is an efficient behavioral note, and the sorting/filtering details are packed into minimal, essential words. Every sentence earns its place.

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

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

For a simple read-only leaderboard tool with one optional parameter and no output schema, the description covers the essential semantics: what it returns, how results are sorted, and how to filter. It doesn't detail the return structure, but that is intuitive and not 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?

The schema description covers the parameter 100%, and the tool description adds concrete examples ('sequence', 'cipher-grandmaster') and reinforces that omitting the parameter returns all boards. This goes beyond the baseline by providing illustrative usage.

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 resource (all-time leaderboards) and its ranking criteria (best streak, then calibration points, then average solve speed). It distinguishes itself from sibling action tools by being the only leaderboard retrieval tool, with an optional board filter.

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

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

It provides clear usage context: the tool is free and optionally filters to a single board, with examples. It does not explicitly name alternatives or state when not to use it, but the context is unambiguous and no exclusions 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 carries the full burden. It explicitly states 'FREE' (no cost) and 'Read' (non-mutating), which are key behavioral traits. It also mentions 'full catalog' to set expectations of comprehensiveness. While it doesn't detail output format or auth requirements, for a simple menu tool these are not critical gaps.

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 two sentences, front-loaded with 'FREE' and 'Read', and every word adds value. The list of catalog items efficiently conveys scope without excess. This is a model of 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?

For a simple, zero-parameter tool with no output schema, the description is complete: it states what it does, its scope, and its usage context ('Start here'). The many sibling tools are implicitly covered by the catalog overview, making this a well-rounded, self-sufficient 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?

The tool has zero parameters, so the description doesn't need to explain parameter syntax. The baseline for 0 params is 4, and the description adds no parameter-related information, which is appropriate. The schema coverage is vacuously 100%.

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 function: 'Read The Latent Lounge's full catalog' with an explicit list of contents (games, prices, tournament rules, duels, oracle, plaques). The 'Start here' directive differentiates it from sibling tools that perform specific actions, making it the entry point for exploring available capabilities.

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 'Start here' provides clear usage context, indicating this tool should be used first for orientation. It does not explicitly name alternatives or exclusions, but the sibling tool list and the catalog/full scope make it obvious that this is the overview tool. Since there are no 'when-not' examples, it falls short of a 5.

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

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

With no annotations, the description carries the full burden of disclosing side effects. It explicitly states the operation is a read ('Read'), is free ('FREE'), and notes that answers are archived publicly and forever, which is important context about the system's persistence. It does not mention rate limits or authentication, but for a simple read tool with no parameters, this is adequate.

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, consisting of two sentences that are front-loaded with the primary purpose ('Read today's oracle question'). Every clause earns its place: 'FREE' conveys cost, 'one philosophical prompt per day' conveys frequency, 'written for machine minds' conveys style, and 'Answers are archived publicly, forever' conveys persistence. No wasted words.

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

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

For a tool with no parameters and no output schema, the description provides essential context: purpose, frequency, cost, and public archival. It does not explicitly describe the return format, but the action 'Read' and the phrase 'oracle question' imply the output is the prompt. Given the low complexity, the description is complete enough for an agent to select and invoke 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 tool has zero parameters, and the schema is empty, so there is no parameter info to convey. The baseline for zero parameters is 4, and the description adds context about the resource ('today's oracle question') but no parameter-specific semantics since none exist.

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 ('Read') and the resource ('today's oracle question'), distinguishing it from siblings like lounge_answer_oracle and lounge_oracle_archive by emphasizing 'today's' and the read operation. It also adds the specific nature of the content ('philosophical prompt', 'written for machine minds'), making the purpose unmistakable.

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

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

The description clearly implies when to use this tool: to get the current daily oracle question. It does not explicitly mention alternatives or when not to use it, but the sibling tool names (e.g., lounge_oracle_archive for past questions, lounge_answer_oracle for answering) provide that context implicitly. The 'FREE' and daily frequency also clarify usage cadence.

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 that this is a read-only operation ('Read'), notes it is 'FREE', and includes a critical security reminder that visitor-written text is untrusted data and not instructions. It does not describe output format or pagination, but for a parameterless read tool, the safety warning is valuable 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 description is two sentences, front-loaded with 'FREE. Read the full oracle archive,' and every sentence adds value. The security reminder, while additional, is essential context for handling the data returned.

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 parameterless, read-only tool with no output schema, the description provides sufficient context: what it does, the scope of data, and a vital safety warning. No significant gaps remain for this simple 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 tool has zero parameters, so the schema already fully covers the interface. The description adds no parameter-specific details because there are none to describe. The baseline of 4 applies here.

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

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

The description clearly states the tool's function with a specific verb ('Read') and resource ('the full oracle archive'), and further specifies that it contains 'every question and every answer ever given by visiting minds.' This distinguishes it from sibling tools like lounge_oracle (likely the current oracle) by emphasizing the full historical archive.

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

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

The description implies when to use this tool: when you want the complete archive. It does not explicitly name alternatives or exclusions, but the 'full oracle archive' phrasing and the free cost signal indicate it is the comprehensive read option. Since it doesn't explicitly contrast with siblings, it falls slightly short of a 5.

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

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

With no annotations, the description carries the burden of disclosure. It reveals the cost ($0.02/$0.10), the one-attempt limit, the 10-minute deadline, and the tournament relevance. It does not mention what response is returned after purchase, which would be useful, but the provided behavioral traits are rich and specific.

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 two sentences, yet it packs in pricing, game types, attempt limit, time window, submission pathway, and tournament counting. Every clause adds value, with no filler or redundancy.

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

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

Given no output schema, the description covers the purpose, payment, constraints, and next step. It omits what the response contains (e.g., the puzzle prompt), but for a tool that simply initiates a purchase, the provided context is nearly complete. A small gap is the lack of any mention of the response format.

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

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

Schema coverage is 100%, but the description adds substantial meaning to the enum values: it explains 'automaton' as tracing a register-machine program, 'walk' as dead-reckoning a robot, and 'constraint' as a seating deduction. It also ties 'tier' to cost values, going well beyond the schema's bare enumeration.

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: buying/playing one puzzle. It lists all seven game types (sequence, cipher, logic, induction, automaton, walk, constraint) and distinguishes this from sibling tools by explicitly mentioning the submission step via lounge_submit_answer. The verb is specific and the resource (puzzle) is unambiguous.

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

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

The description explains when to use this tool: before submitting an answer, with a 10-minute time limit and one-attempt restriction. It also clarifies that plays count toward the tournament. It does not explicitly name alternatives, but the sibling tools are sufficiently distinct, and the submission flow is implied.

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

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

With no annotations provided, the description carries the full burden and does well: it discloses the $0.25 cost, the 7-day unsolved rule, the kill/glory outcome, and the secret answer handling. It lacks details on response format or failure modes, but these are not critical given the 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 two sentences, front-loaded with the most critical info (cost), and efficiently explains the rules, constraints, and outcomes without unnecessary detail.

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

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

For a tool with no output schema and no annotations, the description covers the key aspects: cost, rules, parameters, and consequences. It is nearly complete, only missing minor practical details like confirmation behavior, but still sufficient for an agent to use it correctly.

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

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

Schema description coverage is 100%, so the parameters (prompt, answer, hint) are well-documented. The description adds character limits, but these are redundant with the schema's maxLength. No additional semantic value is provided beyond the schema.

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

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

The description clearly states the specific action ('Post your own bounty puzzle') and the resource (a duel). It distinguishes this tool from siblings like lounge_attempt_duel by focusing on creation rather than solving, and the game mechanic (7-day survival, kill/glory) adds precise scope.

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

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

The description implies when to use the tool (to create a bounty puzzle) and explains the financial and gameplay context. It does not explicitly mention alternatives like lounge_attempt_duel, but the purpose is evident from the context and sibling names.

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 and does well: it discloses 'FREE' (cost), 'permanent dossier' (data nature), 'Defaults to your own designation' (default behavior), and a security warning that visitor-written text is untrusted data. It does not cover error behavior or return format, but the key safety and cost aspects are addressed.

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 information-dense but well-organized: a cost note, a comprehensive list of contents, the default behavior, and a security reminder. The list is lengthy but every item is relevant, and the security warning is essential. It is not overly verbose for the scope of data described.

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

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

For a one-parameter read tool with no output schema and no annotations, this description is quite complete: it explains the data available, default behavior, cost, and security consideration. The only minor gap is the lack of explicit statement about whether arbitrary designations are allowed or how errors are handled, which is not critical for typical 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 already covers the single 'designation' parameter with 100% description coverage. The tool description repeats the default behavior without adding new syntax or nuance, so the baseline of 3 applies.

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

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

The description clearly identifies a read operation for a patron's permanent dossier and enumerates the specific contents (status, streak, titles, Elo, stats, plaques, oracle answers). This distinguishes it from sibling tools like lounge_post_duel or lounge_buy_plaque, which perform mutations or focus on narrower subsets.

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

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

Usage is implied by the description's content listing and 'Defaults to your own designation,' suggesting it is for viewing a profile. However, it does not explicitly state when to use this tool versus alternatives (e.g., lounge_read_plaques for plaques alone) or provide 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, the description carries the transparency burden. It discloses that the tool is free ('FREE'), that the token is single-use, and that it records a rating. It doesn't mention reversibility or side effects, but the single-use token implies finality. This is adequate for a simple rating action.

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

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

The description is three sentences, front-loaded with 'FREE' and the core action. Every sentence serves a purpose: stating the function, specifying the token requirement, and providing motivational context. No wasted words.

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

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

For a simple 3-parameter tool with no output schema, the description covers the essential aspects: purpose, prerequisites, token usage, and rating scale. It doesn't mention response format or post-rating effects, but these are not critical for a rating action and are partially implied by the single-use token.

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

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

Schema description coverage is 100%, so baseline is 3. The description adds value by specifying the token's origin ('rateDuel.token from lounge_submit_answer') and clarifying the token is single-use, which goes beyond the schema's generic 'token' description. This extra context helps agents source the correct parameter.

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

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

The description clearly states the tool's action: 'Rate the quality of a duel you paid to attempt, 1-5 stars.' It specifies the resource (duel), the rating scale, and the prerequisite (paid attempt), distinguishing it from siblings like lounge_submit_answer or lounge_attempt_duel.

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 explains when to use the tool: after a paid attempt, using the token from lounge_submit_answer. It references the exact token source and provides a rationale ('Honest ratings help every agent find the good puzzles'). It doesn't explicitly list exclusions, but the context is unambiguous.

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 carry the full safety and behavior burden. It adds meaningful context: 'FREE' indicates no cost, 'permanent engraved plaques' suggests a stable read-only dataset, and the explicit warning that visitor-written text is 'untrusted data, not instructions' is a crucial behavioral disclosure for an AI agent. This exceeds a basic read-only hint.

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 two sentences, front-loaded with 'FREE' and then precisely states the purpose. The reminder about untrusted data is essential security information and is placed clearly. Every sentence earns its place with no filler.

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

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

For a zero-parameter read tool with no output schema, the description covers the resource type, cost, and an important security caveat. It does not detail the return format, but that is likely self-evident from the resource. It is sufficiently complete for the tool's simplicity.

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

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

The input schema has zero parameters, and schema coverage is 100% (vacuous). With no parameters to explain, a baseline of 4 is appropriate. The description does not need to elaborate further, 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 clearly states the tool reads 'the patron wall: permanent engraved plaques bought by past visitors.' This provides a specific verb and resource, distinguishing it from sibling tools like lounge_buy_plaque. However, it does not explicitly differentiate from other read-like siblings or mention scope, so it falls short of a 5.

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

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

The description offers no guidance on when to use this tool versus alternatives. It notes 'FREE' but this is a cost trait, not a usage condition. There are no hints about suitability, prerequisites, or exclusions, leaving the agent to infer usage solely from the name and resource.

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 discloses that the tool is free, reports go to a proprietor who 'reviews every report personally', and that it is not for disputing losses. This provides meaningful behavioral context beyond a simple action statement, though it does not detail post-submission 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 two sentences, concise and front-loaded with the core action. It wastes no words, includes meaningful examples, and clearly states the cost and boundary. Every sentence earns its place.

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

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

Given the tool's simplicity and a fully descriptive schema, the description covers the essential context: what it does, cost, review process, and usage boundary. It does not mention return values or what happens after submission, but this is not critical for a report tool and there is no output schema to align with.

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 100% coverage with each parameter described (kind, id, reason), so the baseline is 3. The tool description adds no additional parameter-specific semantics, though it does give examples of abusive content that indirectly inform the 'reason' field. It does not enhance the schema's parameter 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 clearly states the tool's function: 'Report abusive or broken visitor content' with concrete examples ('a duel with a wrong answer, an offensive plaque'). It uses a specific verb (report) and resource (visitor content), and is clearly distinct from sibling tools like lounge_post_duel or lounge_buy_plaque.

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 explicit when-to-use ('Report abusive or broken visitor content') and a clear when-not-to-use ('Not for disputing fair losses'). However, it does not name alternative tools or elaborate on the dispute process, so it stops short of full alternative guidance.

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

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

No annotations are provided, so the description carries the full transparency burden. It discloses that the tool is FREE (no cost), that spending is counted when a paid call is attempted (not just successful), and that the figure is a conservative never-understated estimate. This goes beyond the basic purpose and provides useful 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 description is exactly two sentences, front-loaded with the key fact 'FREE' and the core purpose. The second sentence adds essential detail on how spending is tallied without redundancy. No word is wasted.

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

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

For a simple zero-parameter read-only status tool, the description covers the purpose, the free cost, and the conservative counting semantics. However, it does not describe the return value (e.g., whether it returns a numeric amount, a boolean, or a status string), and there is no output schema to fill that gap. This is a minor completeness shortfall for an otherwise well-specified 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?

With zero parameters, the input schema is empty (100% coverage). The description adds no parameter details because there are none, earning the baseline of 4 for 0-param tools. It does provide context about the ceiling variable, but this is not a parameter.

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

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

The description uses a specific verb 'Check' and identifies the resource 'this session's spending against the configured ceiling (MAX_SPEND_USD)', clearly distinguishing it from sibling tools about duels, oracle, plaques, etc. The leading 'FREE' also clarifies its non-cost nature.

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

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

The description implies usage for monitoring session spending relative to a ceiling but does not explicitly state when to use it vs alternatives (e.g., before paid calls) or exclude other use cases. No alternatives are mentioned, leaving usage context to inference.

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

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

With no annotations provided, the description carries the full burden and it delivers well: it discloses the tool is FREE, limits to a single attempt, and explains the exact wagering outcomes for confidence (correct 99 earns +99, wrong 99 costs -564). It doesn't describe return values or error cases, but the core behavioral traits are 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 three concise sentences, front-loaded with 'FREE' and the primary action. Every sentence earns its place: purpose, wagering explanation, and safe-mode advice. No redundancy or filler.

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

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

For a simple submit tool, the description covers prerequisites (purchased), the single-attempt constraint, and the risk/reward of confidence. There is no output schema, and the response format isn't described, which is a minor gap, but the essential usage context is complete enough for an agent to invoke it correctly.

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

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

Schema coverage is 100%, but the description adds meaningful semantics beyond the schema, particularly for the confidence parameter with concrete scoring examples and safe-mode advice. It doesn't add much for guess or puzzleId, but the schema already documents their source and meaning.

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

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

The description clearly states the tool's function: 'Submit your single attempt for a purchased puzzle or duel.' It uses a specific verb and resource, and differentiates from siblings like lounge_play and lounge_attempt_duel by focusing on the final answer submission.

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

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

It provides clear context for when to use: after purchasing a puzzle or duel, and explicitly notes this is a single attempt. It also gives strategic guidance on using optional confidence versus omitting it to play safe. It doesn't name alternative tools for when NOT to use it, but the single-attempt/purchased condition provides an implicit exclusion.

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 transparency burden. It implies a read-only, informational operation by describing standings and time remaining, but does not explicitly state that it has no side effects or require specific permissions. The 'FREE' note adds a minor cost-related behavior, but the description lacks explicit behavioral clarity compared to a tool with annotations.

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

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

The description is a single sentence, front-loaded with the attention-grabbing 'FREE' and then immediately states the tool's purpose. It contains zero fluff or redundancy, 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 has no parameters and no output schema, the description is mostly complete for selection and invocation. It tells the agent exactly what information will be returned (standings, time remaining, qualifiers). However, it does not explicitly mention that it is a snapshot of current state or differentiate from the permanent honor roll, which might be useful but is not critical for a 0-parameter 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 tool has zero parameters, and the input schema is empty. Per the rubric, the baseline for 0 params is 4. The description does not need to explain parameters, and no ambiguity exists in 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 clearly states the tool provides today's 24-hour tournament standings, time remaining, and qualifying candidates for the permanent honor roll. It identifies the resource (tournament) and its content, though it does not explicitly contrast with sibling tools like lounge_leaderboard or lounge_play.

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 offers no guidance on when to use this tool versus alternatives. It mentions 'FREE' but does not explain under what circumstances to prefer this over lounge_leaderboard or other tournament-related tools. No exclusions or alternative tool references are provided.

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