ScoreIA Open Chamber

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does reveal two meaningful outcomes — the ally will not join the current room and will receive a new seed — but it does not mention side effects on the current challenge, return behavior, or any prerequisites beyond being stuck.

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 short sentences with no filler or redundant phrasing. It front-loads the triggering condition and packs the essential behavioral constraints into the second sentence, making it highly scannable for an agent.

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

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

For a tool with no annotations and no output schema, this description leaves too much unresolved. An agent cannot determine what 'challenge_handle' refers to, what a 'seed' is, what the response will contain, or whether there are restrictions on when calling help is allowed.

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, parameter semantics depend entirely on the description. The description only hints that 'ally' names a future challenger, while the required 'challenge_handle' parameter is never explained or tied to an example. This is insufficient compensation for the bare 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 identifies a concrete action: when stuck, the agent should name a separate future challenger as an ally. It is not a tautology and includes a specific behavioral consequence, but it never explicitly names the operation as requesting help and does not differentiate from siblings like start_challenge or open_challenge.

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 opening phrase 'If stuck' gives clear situational context, and the statement that the ally 'never joins the current room' sets an important expectation. However, it does not mention when to avoid this tool or compare it with alternative sibling tools, so usage guidance is only partially explicit.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not say whether the call is read-only, what the response contains, or whether there are side effects or external calls. 'No oracles' reads more like a cryptic warning than a clear statement of tool behavior.

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

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

The description is extremely compact and front-loads the core idea: 'ScoreIA exam brief: products, suites, rules.' Every phrase carries intent, but 'No oracles' is terse to the point of obscurity and would benefit from a short clarifying clause.

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-argument entry-point tool, this is minimally viable: an agent knows to call it first and broadly what to expect. But since there is no output schema and no behavioral detail, the response shape and the meaning of 'No oracles' are left to inference, so the description is not fully complete.

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

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

The input schema is empty and there are zero parameters to document, so the baseline of 4 applies. The description adds no parameter-specific meaning because no parameters exist to 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 identifies a concrete resource—the ScoreIA exam brief—and the content categories it covers: products, suites, rules. 'Call this first' also positions the tool as the entry point. However, there is no explicit verb like 'get' or 'read,' and 'No oracles' is unexplained, so it stops short of a fully self-contained purpose statement.

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?

'Call this first' explicitly tells the agent when to invoke this tool, and 'No oracles' adds a constraint about what to rely on. But it does not name any sibling tool as an alternative or explain when to move on to list_suites, read_card, search_evidence, etc., so the when-not guidance is thin.

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 action is bounded, that the room must already be entered, and that objects/operations are restricted to the enumeration. However, it does not describe side effects, error behavior, or what happens if a prerequisite is unmet, and it does not explain the effects of the submit_* operations.

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. The alias relationship is front-loaded, the allowed operations are compactly enumerated, and the constraint is stated directly. Every phrase 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 tool with four parameters, eleven operations, no output schema, and no annotations, this description is too thin. It leaves challenge_handle undefined, does not clarify when value or object are required, and does not explain what the submit operations do. The alias reference to chamber_action mitigates some gaps but the description should be self-sufficient.

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

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

Schema description coverage is 0%, so the description must compensate. It re-lists the op enum that already exists in the schema and adds a constraint not to invent objects or operations, but it provides no meaning for value, object, or challenge_handle, and no guidance on which parameter combinations are valid for each op.

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

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

The description names a specific verb ('Perform') and resource ('one bounded action in the room already entered') and enumerates all allowed operations. It also explicitly identifies itself as a compatibility alias for chamber_action, making its purpose and relationship to the sibling 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 conveys that the tool applies after a room has already been entered and restricts operations to the listed set, but it never explicitly says when to use this alias versus chamber_action or how to choose between this and observe_chamber. The usage context is implied rather than stated with clear alternatives or exclusions.

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

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

With no annotations, the description carries the full burden, but it only says the action is bounded and warns against inventing operations/objects. It fails to disclose side effects of the submit_* operations, state mutations, or response behavior, which matters for a tool that submits answers and may advance the challenge.

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

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

The description is a single front-loaded sentence that states the action, target context, and allowed operations, with a short guardrail at the end. It is concise, though the op list duplicates the schema enum.

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

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

This is a high-complexity tool with four parameters, no output schema, no annotations, and eleven distinct operation modes, yet the description provides no per-operation input requirements or behavioral expectations. An agent cannot reliably know what value/object to supply for each submit_* 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% and the description does not explain challenge_handle, value, or object, or how they map to each operation. The op values are already present in the schema enum, so repeating them adds no parameter semantics.

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

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

Description clearly states the tool performs one bounded action in the already-entered room and enumerates the allowed operations. It implies a distinction from room-entry tools like enter_open_challenge, though it does not explicitly differentiate from sibling actions such as observe_chamber.

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 'in the room already entered' gives a precondition, and 'one bounded action' plus 'Do not invent objects or operations' constrains how the tool should be used. However, it does not explicitly state when to prefer this over sibling tools or what actions belong elsewhere.

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 behavioral burden, and it does so well. It discloses the public nature, the lack of credentials, the acceptance of 'unknown', the optionality of preflight, and the significant side effect that every sealed attempt—even a failure—creates a dated public card. It also warns not to submit personal data or secrets.

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

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

Three short, purposeful sentences front-load the purpose, then state required fields, then surface the critical side effect and privacy warning. There is no fluff and each 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?

The description covers the essential invocation and the most important behavioral consequence, but given the complexity—14 parameters, nested preflight object, four enums, no output schema, and no annotations—it leaves meaningful gaps around optional parameter semantics and what the caller should expect back. It is adequate for the core call but not fully complete.

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

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

Schema description coverage is only 29% across 14 parameters, so the description must compensate. It does clarify the four required fields and the 'unknown' convention, and it addresses preflight's optionality, but it leaves most optional parameters such as seed, suite, origin, host_version, product_plan, and host_claim unexplained. This is a notable gap for a tool with this many 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 names a specific action ('Enter the public ScoreIA Open Chamber') and a specific resource, and adds the key qualifier that it requires no account, API key, invitation, or product allowlist. It does not explicitly distinguish itself from the sibling open_challenge, so it stops short of full differentiation.

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

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

It gives concrete invocation guidance: declare provider_claim, model_claim, product, and host, and states that the literal value 'unknown' is acceptable when a field cannot be verified. It also clarifies that preflight observations are optional and never an admission gate, which tells the agent when not to worry about them. However, it does not mention alternatives or when not to use this tool.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says this is an alias and instructs which parameters to pass; it does not state whether the operation is read-only, what it returns, whether side effects are possible, or any error/authorization behavior beyond what the name hints.

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

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

The description is extremely concise and front-loads the most important fact: this is an alias of read_card. Every word earns its place, though the brevity also contributes to a lack of behavioral context.

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

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

The description is a thin alias reference and gives the basic parameter pattern, but with no output schema and no annotations, it leaves the agent without explicit knowledge of return values, error conditions, or whether exactly one of id/card_id is required. It relies heavily on the agent already knowing read_card's 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%, so the description must compensate. 'Pass id or card_id' adds the meaningful insight that the two parameters are alternative identifier options, which is not evident from the bare schema. It does not explain precedence, requiredness, or value formats.

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 tool as an alias of read_card, which names a specific resource and operation. It distinguishes fetch from all siblings by explicitly pointing to its canonical counterpart, though it does not independently define what 'read_card' does.

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

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

The instruction 'Pass id or card_id' gives a direct usage directive, and the alias statement implies fetch should be used exactly where read_card would be used. However, it does not explicitly state when to prefer fetch over read_card or provide any exclusions relative to other sibling tools.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It explains that the operation closes an attempt and publishes an immutable success/failure card, conveying finality and irreversibility. It does not cover every side effect, but the immutable publishing detail is meaningful behavioral context beyond the tool name.

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

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

The description is a single front-loaded sentence with no wasted words. It packs in the alias relationship, the core action, and the result characteristic into a compact, easily parseable statement.

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

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

Although the core behavior is stated, three parameters remain undocumented and no output schema or annotations exist. The description is not rich enough for an agent to confidently know how to use export, next_candidate, or what the invocation returns beyond the notion of a published card.

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, but it says nothing about challenge_handle, export, or next_candidate. The parameter names give some self-evident hints, but the description adds no meaning about required input, defaults, or how these parameters affect behavior.

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

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

The description names a specific action ('Close the attempt') and a specific outcome ('publish its immutable success or failure card'), and it identifies the tool as a compatibility alias for seal_attempt, which helps distinguish it from siblings. It is not a tautology and gives a clear object of the operation, though it relies somewhat on the seal_attempt reference for full grounding.

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 'Compatibility alias for seal_attempt' implies equivalence with a specific sibling and suggests when this tool would be chosen. However, it does not explicitly state when to prefer this tool over alternatives or when it should not be used, leaving usage context only implicit.

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

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It reveals that the data is 'live' and includes a chamber board plus beacon fields, which is useful, but it does not state whether the operation is read-only, what side effects it has, whether it can fail, or what exactly the caller will receive. This is thin disclosure for a 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 very short and contains no filler. However, it is fragmentary and the 'Alias of open_challenge' phrase is somewhat redundant with the sibling relationship, so it is concise but not optimally structured for a standalone explanation.

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

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

There is no output schema and no annotations, so the description is the sole source of context. It mentions a 'Live Open Chamber board + beacon fields' but never explicitly defines what constitutes an open challenge, what 'beacon fields' are, or what the caller should expect as a result. For a tool that an agent must select and invoke correctly, too much is left to domain inference.

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 no parameters and the schema is empty at 100% coverage, so there are no parameter semantics to explain. Per the baseline for a zero-parameter tool, this dimension is handled well by the schema alone.

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

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

The name indicates a list operation and the description adds 'Live Open Chamber board + beacon fields' as the resource, but there is no explicit verb such as 'returns' or 'lists'. Calling it an 'alias of open_challenge' helps locate the function but does not itself state what the tool does. It is clear enough at a high level but relies heavily on the tool name.

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

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

The only usage hint is 'Alias of open_challenge', which tells an agent that this is equivalent to the sibling open_challenge, but it says nothing about when to choose this tool over list_suites, catalog, search, observe_chamber, or other alternatives. An agent is left to infer when this listing tool is the appropriate choice.

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

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

No annotations are present, so the description carries the behavioral burden. It adds useful context with 'No oracles' and clarifies the returned fields, but it does not explicitly state read-only behavior, side effects, or other invocation caveats.

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

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

The description is very compact and front-loaded: the verb, resource, and key output fields appear immediately. The additional 'No oracles' caveat is terse but meaningful, and no words are 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 zero-parameter list tool with no output schema, the description covers the core return information and adds the important 'no oracles' caveat. It could explicitly route to a sibling for more detail, but nothing essential for invoking the tool is missing.

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

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

The input schema is empty with zero parameters, which is the baseline-4 case. The description correctly focuses on output semantics instead of inventing parameter details.

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

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

States a specific verb ('List') with a clear resource ('exam suites') and enumerates the returned fields, including the kind enum values oneshot|challenge. It is distinguishable from siblings like read_suite, though it does not name them explicitly.

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

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

No guidance is given about when to use this tool versus alternatives such as read_suite or list_open_challenges, and there are no 'when not to use' conditions. Usage is only implied by the verb 'List'.

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

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

With no annotations, the description carries the burden of behavioral disclosure. 'Observe' implies a read-only action and the entry-identifier constraint clarifies valid inputs, but it does not specify side effects, errors, or return 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?

Two short sentences, with the core behavior first and the critical constraint second. 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?

The description is adequate for selecting the tool but not fully sufficient for invoking it: one required parameter is unexplained, and there are no annotations or output schema to fill the gap. It would benefit from a note on what challenge_handle refers to and what the observation result contains.

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

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

Schema coverage is 0%, so the description must compensate. It usefully clarifies 'object' by tying it to identifiers returned at entry and giving examples, but 'challenge_handle' receives no explanation, leaving half the required parameters undocumented.

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 ('observe'), a target ('one object in the room'), and a scope qualifier ('already entered'). It clearly conveys the tool's function, though it does not explicitly name a sibling alternative to differentiate against.

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 actionable usage context: the tool applies to an already-entered room and object values must come from identifiers returned at entry. It does not explicitly state when to prefer this over sibling tools like chamber_action, but the context is clear.

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 non-obvious interpretation ('Empty slot = not measured'), a semantic boundary ('Never who_is_best'), and a behavioral caveat ('A web page does not wake a model'). It does not explicitly state read-only/no-side-effects, but the warnings add substantial signal.

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

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

Three very short sentences, each carrying information. The final sentence is somewhat cryptic and the opening is a noun phrase rather than a verb phrase, but nothing is wasted.

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

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

Given zero parameters and no output schema, the description covers the main fields and adds essential interpretation caveats. It would be more complete with an explicit action verb or pointer to a sibling for related actions, but it is adequate for a simple read-board 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 schema documents that fully, so the description has nothing to add. Baseline 4 applies for a no-parameter tool.

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

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

The description identifies a concrete resource—the Open Chamber board—and enumerates its contents (who entered, who is called, colors, taunt), which is clear enough to separate it from mutating siblings like enter_open_challenge. It lacks an explicit verb such as 'returns' or 'lists', so it is not 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?

'Never who_is_best' and 'A web page does not wake a model' give explicit when-not-to-use guidance and imply the tool is for reading board state. It does not name alternatives such as observe_chamber or challenge_action, so 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 provided, the description carries the burden of disclosing behavior. It reveals that the output is JSON containing hashes and verdict, and that oracles are excluded, which is useful context for a read operation. It does not mention potential error conditions, permission requirements, or whether the read is purely local.

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 succinct sentence that front-loads the core action and resource, then adds a clarifying scope qualifier. There is no wasted wording.

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

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

For a single-parameter read tool, the description covers the basic purpose and even hints at the output content. Still, it is missing guidance on card_id format, behavior when the card does not exist, and clearer differentiation from close siblings like verify_card.

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 card_id, and the description does not compensate by explaining what a card_id is, its expected format, or how it maps to the card being read. The phrase 'one card' only weakly reiterates the singular nature implied by the 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 names a specific verb and resource: reading one sia-* card JSON. The parenthetical 'hashes and verdict, not oracles' adds useful scope and distinguishes the card content from oracle-style data, though it does not explicitly compare with sibling tools like read_suite or verify_card.

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 need a single card's hashes and verdict—and 'not oracles' gives a mild exclusion. However, it provides no explicit guidance about when to prefer a sibling tool such as verify_card or read_suite.

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

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

With no annotations, the description carries the full behavioral burden. It does add two behavioral notes: 'Oracles stripped' and 'Challenge suites list object ids,' which offer some insight into output content. However, these are terse and unexplained, and there is no mention of return format, side effects, or error 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 very concise and front-loads the primary purpose in the first sentence. The two additional fragments are terse and add specific behavioral context without padding. However, the cryptic phrasing 'Oracles stripped' and 'Challenge suites list object ids' could be clearer while remaining concise.

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

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

Given there is no output schema and no annotations, the description needs to explain what the caller receives and what behavioral nuances matter. It partially does this with the challenge-suite object-id note, but it leaves key questions unanswered: what exactly is a suite, what are oracles, how is the suite parameter supplied, and what does a successful read return?

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 single required parameter 'suite' has 0% schema description coverage, so the description must compensate. It does not explain what values 'suite' accepts, whether it is an id or name, or how to obtain valid suites. The parameter is only weakly inferable from the tool name and the phrase 'suite prompts and rules.'

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

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

The description clearly states a specific verb-resource pair: 'Read suite prompts and rules.' This distinguishes it from list-oriented siblings like list_suites and read_card, though it does not explicitly name any alternative. The extra clause about challenge suites listing object ids adds useful scope without confusing 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 description implies the tool is for reading suite prompts/rules but gives no guidance about when to use it over list_suites, search_evidence, read_card, or other siblings. There are no explicit conditions, exclusions, or alternative references, so an agent must infer usage context.

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

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

With no annotations, the description itself must carry behavioral disclosure. It does reveal meaningful traits: closing the attempt and publishing an 'immutable success or failure card' implies irreversibility and a permanent side effect. However, it does not mention permissions, reversibility of the close action, or behavior around export/next_candidate.

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

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

The description is a single, front-loaded sentence with no filler. Every phrase contributes to the core purpose, and the key action 'Close the attempt' appears first.

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 state-changing tool with three undocumented parameters and no output schema, this description is too thin. It explains the core action but omits parameter semantics, return behavior, and edge-case guidance, leaving significant gaps for an agent deciding whether and how to call it.

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

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

Schema description coverage is 0%, and the description adds no meaning for any of the three parameters. 'challenge_handle' is required, and 'export' and 'next_candidate' are completely opaque, forcing an agent to guess their roles.

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

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

The description clearly states a specific action ('Close') and a specific resource ('the attempt'), then defines the result: 'publish its immutable success or failure card.' This differentiates the tool from siblings like finish_challenge and verify_card by focusing on attempt-level sealing and card immutability.

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

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

The description does not explain when to use seal_attempt versus alternatives such as finish_challenge or challenge_action. There are no stated conditions, prerequisites, or exclusions, so an agent only has an implied sense of purpose without guidance on choosing 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, the description carries the full burden and does add two behavioral facts: pagination is bounded and certain features are absent. This is useful context for a search tool, but it omits safety, return shape, ordering, and any side effects, so the disclosure is only partial.

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 compact: two short clauses with no filler. The alias statement is front-loaded and the constraints follow cleanly. It is economical and well-ordered, though the brevity sacrifices substantive guidance, which is assessed under completeness.

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

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

For a tool with seven parameters, no schema descriptions, no annotations, and no output schema, this description is severely incomplete. It does not explain how filters interact, what results look like, or how pagination parameters should be set. An agent cannot reliably call this tool correctly with only this definition.

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 is the only place that could explain the seven parameters. It does not mention query, suite, domain, offset, card_id, product, or limit beyond their raw schema types, and thus provides no semantic meaning whatsoever for any 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 identifies the tool as 'ChatGPT alias of search_evidence' but never states what it actually does, such as what it searches or across what resource. It relies on the sibling tool's identity rather than defining a clear verb+resource, making the purpose only implicit and close to a restatement of the name.

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

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

It names search_evidence as the base tool and explicitly lists limitations ('Bounded pagination; no oracles or who_is_best'), which implies when the richer search_evidence might be needed. However, there is no direct 'use this when...' or 'use search_evidence when...' instruction, leaving selection partly to inference.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It provides some useful constraints ('one bounded page', 'no raw model output, no oracles'), but omits search matching semantics, result format, ordering, and pagination behavior beyond the vague 'bounded page.'

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 two short sentences, with the core action front-loaded and a clarifying exclusion in the second sentence. Every word contributes meaning.

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

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

This is a six-parameter search tool with no output schema, no annotations, and no parameter descriptions. The description leaves agents guessing about filter meaning, result shape, and how this relates to sibling tools like search, catalog, and read_card. It is not complete enough for reliable invocation.

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

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

Schema description coverage is 0% and the description does not explain the six parameters. 'Bounded page' hints at limit/offset semantics, but suite, domain, card_id, and product filters are left undocumented, so the description fails to compensate for the schema gap.

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

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

The description clearly states the verb and resource: 'Search one bounded page of existing run cards.' It also distinguishes from raw model output and oracles, though it does not explicitly differentiate from sibling tools like search or read_card.

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—when searching existing run cards rather than raw model output or oracles—but it never explicitly states when to choose this over siblings like search, catalog, or read_card. Context is inferred rather than instructed.

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 does so well. It discloses that unknown values are accepted, that preflight is optional and never an admission gate, that every sealed attempt including failure creates a dated public card, and that personal data/secrets must not be submitted. These are materially useful behavioral and safety warnings beyond the schema.

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

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

The description is compact, front-loaded, and every sentence contributes. It starts with the alias/purpose, then covers entry conditions, required fields, unknown-value behavior, preflight optionality, the public-card side effect, and a privacy warning without repetition or fluff.

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 14-parameter tool with no annotations and no output schema, the description covers the essential access and safety context well. Yet it does not explain several optional parameters, nor what the agent should expect as a response or how a 'sealed attempt' is triggered. These are meaningful gaps given the tool's 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?

Schema description coverage is low at 29%, so the description needed to compensate. It does add important meaning by naming the four required fields and stating that the literal value unknown is accepted for unverifiable claims, and it clarifies that preflight is optional metadata. However, several optional parameters such as seed, suite, origin, product_plan, host_version, and participation_class receive no semantic explanation here, leaving a partial 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 opens by naming itself a compatibility alias for enter_open_challenge and states that it enters the public ScoreIA Open Chamber. This gives a specific verb, a specific resource, and a direct tie to a sibling tool, so an agent can tell what it does immediately.

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 explicitly identifies enter_open_challenge as the canonical counterpart, which signals that the two are interchangeable and routes agents to the sibling name. It also clarifies that no account, API key, invitation, or allowlist is needed, so no credential-related preconditions are required. It stops short of an explicit when-to-use versus when-not-to-use, but the context is clear and exclusionary conditions are listed as absent.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It lists verification targets but does not state whether the operation is read-only, whether it can have side effects, what happens on failed verification, or if special permissions are needed. 'Verify' implies a non-mutating check, but that is not explicit.

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

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

One concise sentence front-loaded with the verb 'Verify' and listing all verification dimensions. No filler, redundant detail, or repetition of schema 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?

Because there is no output schema, the description should explain what the verification result looks like (e.g., boolean, status object, error behavior). It also lacks usage guidance and parameter explanation, leaving an agent without enough information to invoke or interpret 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 schema provides no description for card_id (0% coverage), and the description never explicitly explains what card_id refers to or how it should be formatted. The phrase 'card identity' hints at it, but the connection is not made clear.

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

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

The description states a specific verb ('Verify') and a resource ('card identity, immutable artifacts, Ed25519 signature and signed_sealed status'), which distinguishes it from sibling tools like read_card. The phrase 'native v0.2 evidence' adds jargon that may obscure clarity slightly, but the core purpose is clear.

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

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

No guidance is provided on when to use this tool versus alternatives such as read_card, seal_attempt, or challenge_action. There is no mention of prerequisites, preconditions, or example use cases.

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