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

Annotations already declare the safety profile (destructiveHint=true, readOnlyHint=false, idempotentHint=false), which the description does not contradict. The description adds only the 'local' qualifier for workflow steps and the step-type list; it does not disclose error behavior, execution-mode effects, or what summary/steps/emits responses contain, so added value beyond annotations is minimal.

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

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

Twelve words in a single sentence, verb-front-loaded, with no filler or redundant content. Every word earns its place by naming either the action or the specific step types.

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 complex tool — eight parameters, a required nested operations array with no item schema (additionalProperties only), three enum parameters, a destructive annotation, and no output schema. The description does not explain how to structure an operation item, what the response looks like, or how the response_mode/output_mode options differ, leaving an agent without enough information 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?

With 0% schema description coverage, the description must compensate, and it does clarify the key required parameter: operations can be either calls or local select/assert/poll/foreach/emit steps. But the other seven parameters (execution, max_chars, output_mode, response_mode, stop_on_error, request_id, unity_instance) receive no semantic explanation anywhere, so the compensation is only partial.

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

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

The description names a specific action ('Run') and a concrete resource ('calls or local select/assert/poll/foreach/emit workflow steps'), so an agent can tell that this tool executes operations rather than inspecting state. However, it does not explicitly contrast with the sibling call_operation, leaving the batch-vs-single distinction to be inferred from 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 description gives no guidance on when to choose batch_operations over call_operation, get_result, or the other siblings. There are no use cases, prerequisites, or exclusions stated; an agent must infer from the name alone that this is for running multiple operations at once.

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

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

Annotations already mark destructiveHint=true and idempotentHint=false; the description adds useful behavioral context by stating execution is once-only and that request_id deduplicates retries. It does not disclose failure modes, side effects beyond mutation, or result-handling behavior, but it goes beyond what the annotations already convey.

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

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

The description is a single efficient sentence with no filler, and it front-loads the key execution behavior. It is admirably concise for a tool with six parameters, though arguably too terse to fully educate 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?

Given the destructive hint, six parameters, no output schema, and zero schema coverage, one line is not enough context. The request_id guidance is valuable, but the agent is left without sufficient details on how to specify the operation, shape arguments, choose output_mode, or interpret results.

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

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

Schema description coverage is 0%, so the description must compensate for six parameters, but it only explains request_id. Critical parameters such as operation, arguments, output_mode, max_chars, and unity_instance are left wholly undocumented, making correct invocation harder than it should be.

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

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

The description identifies the tool as a single-execution operation invoker ('Execute once') and references mutations, which helps distinguish it from sibling tools like batch_operations. However, it never explains what an 'operation' actually is or what domain it operates on, so some clarity is left to inference from the tool name and parameters.

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 single mutations and mentions safe deduplication of retries, but it gives no explicit when-to-use guidance or when-not-to-use alternatives. It does not tell the agent to prefer read-oriented siblings for inspection or batch_operations for multi-step work.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds useful behavioral context by indicating that the tool works over prior results and avoids re-running Unity work, but it does not reveal details about output modes, pagination behavior, or any hidden side effects. This is adequate but not rich.

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

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

The description is a single sentence with no filler, and the key behavioral point about not repeating Unity work is front-loaded. It earns its place, though the brevity contributes to the lack of parameter clarity.

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

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

With seven parameters, no parameter descriptions, no output schema, and an already-terse tool description, an agent has insufficient context to call the tool confidently. The description does not explain how paging, search, output modes, or character limits behave, leaving important invocation details to 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?

Schema description coverage is 0%, so the description must compensate for the seven parameters, but it does not. 'Page, select, or search' loosely maps to limit/offset, result_id, and pattern/path, yet parameters such as max_chars, output_mode, and path remain unexplained. The description provides only weak semantic hints and does not carry the parameter-documentation burden.

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 specific resource ('a prior result') and a set of verbs ('Page, select, or search'), which makes the tool's purpose reasonably clear. It also adds the motivational context of avoiding repeated Unity work, but it does not explicitly differentiate itself from sibling tools like search_capabilities or call_operation.

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 'without repeating Unity work' implies this tool should be used when a previous result already exists and should be retrieved rather than recomputed. However, there is no explicit guidance on when to prefer get_result over siblings such as call_operation or search_capabilities, and no exclusions or alternative conditions are stated.

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

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

Annotations already establish that the tool is read-only, idempotent, and non-destructive, so the description need not repeat that. It adds a small behavioral detail—the result is a single inline bounded image—but leaves the semantics of 'bounded' and the meaning of source/target selection unexplained. No contradiction 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?

One short sentence, front-loaded with the action and resource, with no filler. It is concise and readable, though it could afford a second sentence to explain key parameters or use cases without becoming bloated.

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

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

For a tool with four parameters, no output schema, and no parameter descriptions, this description is incomplete. An agent cannot infer what 'target' means, how max_resolution behaves, or how to select scene_view versus game_view, and there is no guidance on how to interpret the returned image.

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

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

Schema description coverage is 0% and the description names none of the four parameters (source, target, max_resolution, unity_instance). The enum for source and default values in the schema provide some hints, but the description adds no parameter-level meaning and fails to compensate for the zero coverage.

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

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

The description uses a specific verb ('Return') with a clear resource ('one bounded inline viewport image') and states the purpose ('for visual verification'). It is distinguishable from generic sibling names like get_result or inspect_unity, though it does not explicitly contrast with them.

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

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

The phrase 'for visual verification' implies this tool is for obtaining an image to verify a scene or game view, but the description does not state when to use it instead of alternatives like inspect_unity or get_result, nor are exclusions given. Usage context is inferred rather than explicit.

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

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

Annotations already declare readOnlyHint and idempotentHint, and the description adds the concrete behavior that unchanged revisions produce no repeated payload, which clarifies what idempotency means here. It also lets the agent infer that since_revision is tied to change detection. No statement contradicts the read-only/idempotent 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 short and the behavioral note does earn its place, but 'semantically' is cryptic and the text is under-specified for a tool with six parameters. It is concise in word count, yet not 'appropriately sized' for the complexity the schema reveals.

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

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

With low schema coverage, no output schema, and six parameters, the description leaves important context missing: what a successful inspection returns, which scopes are involved, what targets selects, and how unity_instance affects execution. The single revision-related sentence is useful but far from complete.

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

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

Schema description coverage is 0%, so the description bears the burden, but it only loosely clarifies since_revision via 'unchanged revisions'. The other five parameters—scope, detail, targets, max_chars, unity_instance—are left entirely to name/enum inference, and targets in particular is ambiguous.

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 verb and resource ('Inspect Unity') but 'semantically' is undefined, and nothing in the text distinguishes it from siblings like get_viewport or search_capabilities. The second clause describes revision behavior rather than clarifying what inspection covers. It is not a complete tautology, but the core phrasing largely restates 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?

No guidance is given for when to use inspect_unity instead of sibling tools such as get_viewport, call_operation, or search_capabilities. There are no exclusions, prerequisites, or context triggers. An agent must infer usage from the schema alone.

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

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

Annotations already mark it read-only, idempotent, and non-destructive; the description adds a scoping claim: results contain operation names and only the argument hints needed next. This is useful but vague, and it does not disclose output shape, refresh behavior, or query semantics.

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 definition is one short sentence and front-loads the main action, but it is under-specified rather than economically complete; important behavioral and parameter information is missing.

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

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

With five optional parameters, no output schema, and no parameter descriptions, the description must carry more weight. It gives the broad purpose but omits the query semantics, return shape, and how the result connects to call_operation, so the tool is not sufficiently contextualized.

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% across five parameters (limit, query, refresh, category, include_schema), yet the description names none of them and only references 'argument hints' as output. This is a serious gap: an agent cannot know what query string, limit, or include_schema controls.

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

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

The description states a specific action ('Find operation names') and the scope of results ('argument hints needed next'), which distinguishes it from sibling tools that call/get/batch operations. However, it does not explicitly differentiate from 'inspect_unity' or clarify what 'capabilities' means in context, 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 phrase 'needed next' implies this is a discovery step before invoking an operation, giving some context. But it offers no explicit guidance on when to choose this over call_operation, get_result, inspect_unity, or batch_operations, and no exclusions.

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