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

With no annotations, the description must disclose side effects. It only says 'optionally test, render and open' without explaining what those operations do, whether they modify state, require permissions, or produce side effects like opening an app. There is no mention of error behavior or output 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?

Two sentences, efficient and front-loaded. The first sentence covers the core function, the second adds a directive for the AI. No filler, but the second sentence is more of a usage hint than a description.

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

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

For a complex tool with a nested design object, six parameters, and no output schema or annotations, the description is insufficient. It does not explain how to form the design object, what happens after building, what return values to expect, or error handling. The agent would need to infer from sibling tools or the schema.

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 83%, so the baseline is 3. The description adds minimal param-specific meaning beyond the schema, such as 'structured circuit design' and 'design object', but it does not explain the design structure or how to construct it. It relies on the schema's reference to digital_design_schema.

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

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

The description states a specific action (build a .dig file), the resource (Digital circuit), and optional operations (test, render, open). It clearly distinguishes the tool's core role from sibling tools by positioning it as the builder that may delegate to others. The instruction to translate text/image into a design object adds valuable context.

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 this is the primary build tool and mentions optional test/render/open, but it does not explicitly state when to use sibling tools like digital_run_tests or digital_open_circuit instead. It gives a context hint about translating input but lacks clear when-not 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 provided, the description carries the full burden of behavioral disclosure. It indicates a read-only operation via 'Return', which is a non-destructive action, but it does not mention any other behavioral aspects such as the exact structure of the returned data, whether the schema is static or dynamic, or any rate limiting. For a simple retrieval tool this is adequate, though 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, front-loaded sentence with no filler. Every word adds meaning, and the primary purpose is stated immediately. This is exemplary 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 tool with no parameters and no output schema, the description adequately conveys the core functionality. It could be more explicit about the format or contents of the returned schema, but for a simple retrieval operation the essential information is present. Siblings indicate a design toolset, so the schema reference is contextually appropriate.

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 nothing to document. Per the rubric, a baseline of 4 is appropriate for zero-parameter tools; the description correctly does not attempt to describe parameters 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 uses a specific verb ('Return') and identifies the resource ('structured design schema and supported common gate pin conventions'). This clearly differentiates it from siblings like digital_build_circuit or digital_inspect_circuit, which involve creating or examining circuits rather than retrieving schema definitions.

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 its usage – you call it when you need the design schema or gate pin conventions – but it does not explicitly state when to prefer this over alternatives or provide any contextual guidance. There is no exclusion clause, but the purpose is clear enough that an agent can infer appropriate use.

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

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

With no annotations provided, the description carries the full burden and does substantial work: it reveals the SVG export pipeline and the PNG conversion process, including the dependency on DIGITAL_SVG_CONVERTER or rsvg-convert/magick/convert/inkscape. It does not mention output file side effects, overwrite behavior, or error handling, but the disclosed conversion details go well 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 two sentences with no filler. The main purpose is front-loaded, and the second sentence efficiently packs the format pipeline details and external converter dependencies. Every clause 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 core format behavior and conversion pipeline, but it omits output_path semantics, return values (no output schema), timeout behavior, and explicit guidance for choosing among siblings. Given the absence of annotations and 0% schema description coverage, more context would be needed for fully confident invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It adds real meaning for 'format' (SVG vs PNG) and 'pixel_width' (requested conversion width), but it leaves 'path', 'output_path', and 'timeout_seconds' unexplained beyond their schema types and defaults. Partial compensation is provided, not complete.

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 and resource: 'Export a rendered image of a .dig circuit,' which clearly states what the tool does. It also differentiates format behavior (SVG vs PNG) and distinguishes itself from related export tools by focusing on rendered image output.

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 SVG vs PNG and mentions the default format, providing clear context for format selection. However, it does not explicitly state when to use this tool instead of siblings like digital_render_circuit or digital_export_simulation_image, leaving the alternative-selection guidance implied 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does say the circuit is simulated headlessly and the GUI is not driven, but it does not disclose whether applying inputs mutates the model, whether output_path is required for file creation, what side effects occur, or what resource limits apply.

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. It front-loads the core behavior (apply states, render, export) and follows with the useful GUI exception, making each sentence earn its place.

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

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

Given the tool has eight parameters, nested objects, no output schema, and no parameter descriptions, the description is too thin to be fully complete. It does not explain what path refers to, how the output is returned or saved, what hide_test means, or how inputs interact with an already-open Digital model.

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 gives one useful example for the inputs parameter and mentions SVG/PNG output, but the majority of the eight parameters—path, output_path, scale, pixel_width, hide_test, timeout_seconds—receive no semantic clarification in either the schema or the description.

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: apply input states, render the live Digital model, and export an SVG/PNG snapshot. It is more specific than the tool title and conveys the headless simulation nature, though it does not explicitly call out sibling differentiators like digital_export_rendered_image.

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 you need a simulation snapshot with applied input states, and it notes that the GUI is not driven. However, it does not explicitly state when to prefer this tool over the related export/render siblings or give concrete exclusions.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It discloses the pipeline (read, validate, export) and implies side effects (creating an output file via output_path parameter). However, it does not mention whether the input file is modified, what happens on validation failure, or the effect of timeout_seconds. This is a moderate disclosure but not exhaustive.

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, tightly-worded sentence that conveys the core action, resource, and output formats. No fluff or redundant phrases. It is appropriately front-loaded with the primary verb and object, making it easy to scan.

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

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

The tool has 5 parameters and no output schema or annotations. The description is too brief to cover essential details: it does not explain what 'embedded Digital Testcase data' looks like, what the return value is (e.g., file path), or how validation errors are reported. For a multi-step process with multiple configuration options, this is insufficient for an agent to call it correctly without external knowledge.

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

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

Schema description coverage is 0% - the description does not explain any of the 5 parameters. It only hints at format via 'SVG or high-resolution PNG' but fails to clarify the role of 'path', 'output_path', 'pixel_width', or 'timeout_seconds'. Since coverage is low, the description must compensate but does not, leaving agents to infer parameter meanings from names and defaults 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 description explicitly states the action (read, validate, export) and the resource (embedded Digital Testcase data, truth-table/results image). It clearly distinguishes from siblings like digital_export_rendered_image or digital_export_simulation_image by targeting a specific image type. The verb 'export' and formats 'SVG or PNG' are precise.

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: when you need a truth-table/results image from embedded testcase data. It does not explicitly mention alternatives or exclusions, but the context is clear enough for an agent to decide. Sibling tools like digital_run_tests or digital_export_rendered_image have different purposes, so the description's specificity provides adequate 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?

The description adds value by stating the action is a read and that the return value contains specific circuit data, which is useful since no annotations are present. However, it does not disclose error behavior, path requirements, or whether the inspection has any side effects.

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

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

The description is a single sentence with no redundant wording. The core action and output content types are front-loaded, making it easy for an agent to parse quickly.

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 a simple one-parameter inspection tool and mentions the main return categories. It is not fully complete because it omits exact return structure, path semantics, and explicit guidance for distinguishing this tool from the related digital_* siblings.

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 schema description coverage at 0%, the description must compensate for the undocumented 'path' parameter, but it only indirectly implies that a .dig file is the target. It does not explain what path values are valid, whether the path must be local, or how the file is located.

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 ('Read'), a concrete resource (Digital .dig file), and the kind of data returned (elements, positions, attributes, wires). It is clear and informative, though it does not explicitly differentiate itself from similarly named siblings like digital_open_circuit or digital_load_circuit.

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 purpose implies it should be used when the agent needs to inspect the logical contents of a .dig file, but there is no explicit guidance about when to choose this over alternatives such as digital_render_circuit or digital_run_tests. Usage is inferable rather than 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?

With no annotations provided, the description carries the full burden. It does disclose that it uses 'the safest available launcher' and lists the returned fields (loaded, app, path, launcher), which gives some behavioral context. However, it does not mention side effects, permissions, error behavior, or whether the operation modifies anything. For a load operation, this is moderately transparent but incomplete.

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, well-structured sentence that front-loads the primary action and efficiently covers the target, method, and return values. Every part is informative and there is no redundant or filler content.

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

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

The description provides the essential purpose and return format, which is sufficient for a simple load operation. However, it omits clarification for the optional 'app_path' parameter and offers no error-handling or usage context. Given the low complexity (2 params, no output schema), it is barely adequate 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 0%, so the description must compensate. It does not explain the meaning of 'path' or 'app_path' beyond their names. The description mentions 'path' in the return but not as an input parameter, and 'app_path' is entirely undocumented. This is a significant failure to add value 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 (load), the resource (.dig file), and the target environment (Digital.app on macOS). It also mentions a specific approach ('safest available launcher') and the expected return fields. However, it does not explicitly differentiate from the sibling tool digital_open_circuit, which might also load/open circuits, so it loses a point for lack of sibling distinction.

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

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

There is no guidance on when to use this tool versus alternatives such as digital_open_circuit or other sibling tools. The description simply states what it does without any context about scenarios that favor this tool or exclusions. This is a clear gap for an agent deciding between load and open operations.

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

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

With no annotations, the description must disclose behavioral traits itself; it only says 'Open a .dig file'. It does not state whether this launches a GUI, whether it blocks or returns immediately, whether it modifies the file, or what happens if the app is not found. The macOS constraint is helpful but insufficient 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 a single concise sentence with no filler or repetition. It front-loads the core action and resource. It could carry more useful detail, but it is not 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?

Given the tool has no annotations, no output schema, and an undocumented optional parameter, the description is too sparse. An agent would likely need to infer 'app_path' semantics and the relationship to digital_load_circuit, which creates ambiguity in a family of similar circuit tools.

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

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

Schema description coverage is 0%, so the description must clarify both parameters. It implicitly suggests that 'path' is the .dig file path, but it does not explain 'app_path' at all, nor does it specify expected formats, defaults, or optionality beyond the raw schema.

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

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

The description uses a specific verb ('Open'), a clear resource ('.dig file'), and the target environment ('modern Digital.app on macOS'), so an agent can tell what action is being performed. However, it does not explicitly differentiate this from the sibling 'digital_load_circuit', which could plausibly overlap with 'open'.

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

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

There is no guidance about when to use this tool versus alternatives like digital_load_circuit or digital_inspect_circuit. The description gives context about macOS and Digital.app but does not explain which sibling to choose for headless workflows or when this tool is inappropriate.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It says 'Render' and mentions CLI, but it does not disclose whether files are written, what output is returned, whether the operation is read-only, or how errors/timeouts behave. For a tool with output_path and timeout_seconds parameters, this is a notable gap.

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 concise sentences, with the core purpose front-loaded and the routing note added without fluff. Every word contributes to the agent's understanding.

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

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

The tool has four parameters, no output schema, and no annotations. The description explains the tool's purpose and deprecation status well but omits essential context such as parameter semantics, expected return value, output file behavior, and failure modes. It is minimally useful but not complete for safe invocation.

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

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

Schema description coverage is 0%, and the description does not explain any of the four parameters. The parameter names are somewhat self-explanatory, but the description adds no meaning about path, format, output_path, or timeout_seconds. Since the description was expected to compensate for sparse schema documentation, this is a significant shortfall.

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 and resource ('Render a Digital .dig file using Digital's CLI') and explicitly distinguishes itself from digital_export_rendered_image. An agent can tell exactly what this tool does and how it differs from the closest sibling.

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 explicitly names digital_export_rendered_image as the preferred alternative and gives the reason: 'Kept for compatibility'. This is clear routing guidance for when to use this tool versus the sibling.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the headless CLI mechanism but does not describe side effects, output format, failure behavior, or what happens on test failure. This is a meaningful gap for a tool that executes tests.

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 focused sentence with no filler or redundancy. It front-loads the core operation and resource, making it easy to parse quickly.

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

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

With no output schema, no annotations, and no parameter descriptions, the description is too thin for an agent to call the tool confidently. It omits return value information, timeout/verbose semantics, and any expected outcome or error handling details.

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

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

Schema description coverage is 0%, and the description adds no information about path, verbose, or timeout_seconds. An agent cannot determine what verbose controls or how timeout_seconds affects execution from either the schema or the description.

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 ('Run') and resource ('test cases embedded in a Digital .dig file') and clearly distinguishes this from sibling tools like digital_inspect_circuit or digital_build_circuit by focusing on executing embedded tests. It is unambiguous about what the tool 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 description implies when to use this tool—when you need to run embedded test cases—but it provides no explicit alternatives, exclusions, or conditions compared with siblings. There is enough context to infer basic usage, but no direct guidance.

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