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

With no annotations, the description carries the full disclosure burden. It reveals two meaningful behavioral traits: the file is copied into the project's assets/, and the costume is appended last, becoming the highest costume number. It does not cover overwrite behavior, permissions, or failure modes, but it goes beyond simply restating the action.

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

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

Two short paragraphs, front-loaded with the main action, then input modes, then the side effect and ordering. Each sentence contributes new information and there is no filler. The line break around the `file`/`svg` choice makes it scannable.

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

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

Given one required parameter, 100% schema coverage, and an output schema, the description provides enough to call the tool correctly: what to pass, which input form to use, and the side effect. It omits edge cases (both `file` and `svg` provided, or neither) and doesn't address sibling selection, but these are secondary.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining that `file` accepts .svg/.png/.jpg, that `svg` requires `name`, and that `name` defaults to the filename without extension. This coupling goes beyond the schema's bare descriptions.

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 ('Add') and resource ('costume to a sprite') and scopes it to 'the project's assets/'. This clearly separates it from asset-removal and sound siblings. However, it does not explicitly differentiate itself from the similarly named `sb3_add_costume`, leaving some ambiguity about which level (project vs sb3 VM) to use.

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 actionable guidance: use either `file` or `svg`, and that `svg` requires `name`. This resolves the main input ambiguity. It does not, however, mention when not to use this tool or when to prefer an alternative like `sb3_add_costume`.

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 meaningful work: it discloses the file-copy side effect into assets/ and warns about the silent failure mode where unsupported formats make the project refuse to load with no warning. This is high-value behavioral disclosure, though it omits details like name-conflict behavior, permissions, or error handling.

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 core action and side effect are front-loaded, followed immediately by the critical format warning. Every word 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 mutation tool with no annotations, the description covers the essential ground: purpose, side effect, and the most damaging failure mode. The 100%-coverage schema and existing output schema fill in parameter and return semantics. Minor gaps remain around conflict handling and reversibility, but nothing critical 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?

Schema coverage is 100%, so the schema already documents all four parameters (file, name, path, sprite) with descriptions. The description reinforces the format restriction for file but adds little semantic value beyond what the schema provides; the baseline of 3 applies.

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

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

The description states a specific verb and resource — 'Add a sound to a sprite, copying the file into the project's assets/' — which clearly identifies the tool's function and distinguishes it from removal tools like project_remove_asset and costume tools like project_add_costume. It does not explicitly differentiate from the similar sb3_add_sound sibling, so it falls just short of full clarity.

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

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

The description provides practical usage guidance via the format constraint ('Scratch accepts only MP3 and WAV') and implies the intended context of working with project sprites. However, it gives no explicit when-to-use vs. when-not-to-use guidance or alternative routing against siblings such as sb3_add_sound or project_add_costume, leaving selection 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. It discloses that failed builds raise with compiler diagnostics passed through verbatim, including file, line, column, and source. It also discloses that the tool reports extension usage and TurboWarp-only flags, which is valuable behavioral context beyond the basic action.

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

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

The description is compact, well-structured, and front-loaded with the core action. Each sentence adds unique value: the action, the CLI alternative, failure behavior, and extension reporting. No redundant or vague 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?

With an output schema present, the description need not explain return values. It covers the build action, error behavior, and extension reporting. It does not mention prerequisites or filesystem side effects, but those are likely covered by sibling tools like project_check_toolchain. Overall, complete enough for an agent to call correctly.

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

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

Schema description coverage is 100% for the single path parameter, and the schema already documents that it defaults to the active project. The description adds no additional parameter-level detail, so the baseline score of 3 is appropriate.

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 ('Compile the project to .sb3 with goboscript') with clear resource and output format. Distinguishes itself from sibling tools by focusing on the build/compile action, which is not duplicated by any 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?

Explicitly instructs to use this rather than running the goboscript CLI, giving clear guidance against a common alternative. Does not mention sibling tools explicitly, but the context is sufficient for when to use it; no exclusions 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states that the tool 'never raises,' which is a key safety trait for a diagnostic tool. It also implies a boolean-like result ('installed and usable') but doesn't specify the exact return structure. Given the tool's simplicity and the existence of an output schema (which isn't shown but is present), this is sufficient. It could add more detail about what 'usable' means or whether it performs any network/file checks, but the core behavior is disclosed.

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 zero fluff. The first sentence states the purpose, the second gives usage guidance and a safety note. All information is front-loaded and every word earns its place. It's a model of conciseness.

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

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

For a zero-parameter diagnostic tool, this description is complete. It tells the agent what the tool does, when to use it, and a key behavioral guarantee (never raises). The output schema presumably describes the return value, so the description doesn't need to. It's fully sufficient for an agent to decide when 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?

The tool has zero parameters, so the description doesn't need to explain any. The baseline for 0 parameters is 4, and the description adds no redundant parameter information. It's correctly minimal—no parameter documentation is needed.

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

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

The description clearly states the tool's purpose: to report whether the goboscript toolchain is installed and usable. It uses a specific verb ('Report') and a specific resource ('goboscript toolchain'), and it's distinct from all sibling tools—no other tool performs a toolchain health check. This makes its purpose 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 explicitly tells the agent when to call this tool: 'Call this first if any other project_* tool complains about a missing binary.' It also notes that it's safe for diagnosis because it 'never raises.' This provides clear context for selection and even a conditional trigger, which is excellent 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 burden of behavioral disclosure. It does disclose the important non-destructive behavior ('Does not delete anything from disk'), but it does not explain what 'forget' means in terms of the workspace, active project state, or whether the action is reversible. This is a partial disclosure, not a full one.

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 waste. It front-loads the core action and immediately adds the critical non-destructive qualification. Every word 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 low-complexity tool with one optional parameter, a complete schema, and an output schema present, the description is nearly sufficient. It explains the core action and safety boundary. The main missing piece is explicit usage guidance relative to siblings, but that is not critical for correct invocation given the schema and tool name.

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 100% coverage for the single parameter, documenting that 'path' is optional and defaults to the active project. The description adds no parameter-specific information, but because the schema is complete, the baseline score of 3 is appropriate.

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 ('Forget a project') and the key boundary ('Does not delete anything from disk'), which distinguishes it from destructive operations. It does not explicitly differentiate among the many project_* siblings, but the verb 'forget' conveys a distinct non-destructive close/unload action.

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 like project_open, project_select, or project_remove_asset. The only contextual hint is the reassurance that nothing is deleted from disk, which implicitly suggests it is not for deletion but does not explain appropriate usage scenarios.

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

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

No annotations are provided, so the description carries the behavioral burden. It discloses the key caveat that decompilation is lossy in layout terms and states that the tool 'makes the result active.' It also implies network use by mentioning pulling from scratch.mit.edu. It could say more about filesystem writes or state changes, but the most important behavioral warning is present.

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 and front-loaded: purpose first, then source-mode guidance, then a brief caveat. Every sentence carries useful information with no filler.

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

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

With 100% schema coverage and an output schema available, the description covers the main operational context well: what the tool does, how to choose a source, and the key decompilation caveat. It does not explicitly mention the required `path` parameter's role, but the schema already documents that clearly.

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

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

Schema coverage is 100%, so the baseline is 3, but the description adds value by explaining the relationship between `project_id` and `sb3_path` as alternative sources. This goes beyond the individual parameter descriptions and clarifies the either/or usage pattern.

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: it decompiles a Scratch project into editable goboscript source and makes it active. This clearly differentiates it from sibling tools like project_open, project_new, or sb3_open_project, which do not focus on decompilation into goboscript.

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 clear context and explicit input-mode guidance: use `project_id` for scratch.mit.edu projects or `sb3_path` for local .sb3 files. However, it does not explicitly say when this tool should be chosen over related siblings or when it should not be used.

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 disclosure burden. It reveals that this tool is a prerequisite read, that it covers hard limits, and that projects must be written as goboscript source and compiled rather than edited as raw project.json. Since the tool has no parameters and is purely a guide, additional side-effect disclosure is unnecessary.

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 sentences with the critical usage instruction front-loaded in the first sentence. Each sentence adds distinct information: the precondition, the covered content, and the authoring workflow.

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 documentation tool, the description provides everything an agent needs: when to invoke it, what it covers, and the expected project-authoring model. The presence of an output schema covers return-value details, so no additional context 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 tool has zero parameters, so parameter semantics are largely moot and the baseline of 4 applies. The empty schema with additionalProperties false leaves nothing 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 states an explicit action ('Read this') and a precise resource: guidance for creating or editing Scratch projects, covering hard limits and goboscript. This clearly distinguishes it from action-oriented sibling tools like project_new or project_build, positioning it as a prerequisite guide rather than an 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 opening sentence is an explicit condition: read before creating or editing any Scratch project. It also clarifies the supported workflow—goboscript .gs source, not raw project.json—which prevents the agent from using other tools to edit raw JSON. No alternative tool is named, but the when-to-use instruction is unambiguous.

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

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

With no annotations, the description carries the full burden. It clearly states that calling with no arguments returns the index and calling with a page returns raw markdown, making the read-only nature and output shape evident. No hidden side effects or state changes are implied or omitted.

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 four sentences, each serving a purpose: purpose, two usage modes, and when-to-use guidance. No filler or redundant restatement of the schema.

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 one optional parameter and an output schema, this description covers how to obtain the index, how to fetch a specific page, and when to use it. It does not need to describe return values because the output schema covers that, and error handling for invalid paths is minor for a read-only docs 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 schema already documents the 'page' parameter at 100% coverage, but the description adds meaningful usage semantics: no arguments yields the index, and setting 'page' to an index path returns that page. This clarifies the relationship between the parameter and the two output modes beyond the schema's static 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 states a specific verb ('Read') and resource ('goboscript language documentation'), and clearly distinguishes the two invocation modes. This separates it from sibling tools, which operate on projects, social features, or SB3 files. No ambiguity 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?

It explicitly advises using this tool whenever unsure of a block or reporter name, with examples and rationale (guessing wastes build cycles). This provides clear situational guidance and an implicit alternative (not guessing), though it does not name a specific sibling tool because none is directly comparable.

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 does most of the work. The verb 'Summarise' strongly implies a read-only operation and the tool's purpose is transparent enough. However, it does not explicitly state that no changes are made to the project or describe how the default active project resolution behaves beyond what the schema already says.

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 excess verbiage. The core action and the three content areas are all front-loaded, making it easy for an agent to scan and understand.

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

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

For a simple tool with one optional parameter and an output schema available, this description is largely complete. The only slight gap is that 'publish target' and 'compatibility' could be more explicit about what exact information is returned, but that is minor.

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 describes the single 'path' parameter fully, including its nullability and default of the active project (100% schema description coverage). The description adds no additional parameter-level meaning, so the baseline of 3 is appropriate.

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 ('Summarise') and a specific resource ('a project'), then names the three facets covered: sprites, publish target, and compatibility. This is clear and functional, but it does not explicitly differentiate itself from similarly named siblings like sb3_project_info or social_get_project_info.

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. The existence of similarly named siblings such as sb3_project_info and social_get_project_info makes the omission noticeable; an agent must infer that 'summary' is the intended use case.

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. 'List' reasonably implies a read-only, non-destructive operation, and 'this server knows about' communicates the local scope. Still, it does not disclose return behavior, ordering, or potential side effects beyond what the output schema may define.

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 with no filler. The key action and scope are front-loaded, and every word adds 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?

For a zero-parameter list tool with an output schema present, the description is complete enough for an agent to select and invoke it correctly. It identifies the exact object being listed and the context ('server knows about'), and it does not need to explain return values because an output schema exists.

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 are no parameter semantics to explain. Per the baseline for zero-parameter tools, this is appropriate; nothing in the description needs to compensate for undocumented parameters.

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

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

The description uses a specific verb ('List') and resource ('goboscript projects'), and adds a clarifying scope ('this server knows about'). It clearly distinguishes this from sibling tools like project_list_assets by focusing on projects rather than assets.

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 use case: call it when you need to enumerate the goboscript projects available on the server. However, it does not explicitly state when to prefer this tool over alternatives or mention any exclusions, leaving usage guidance mostly implied.

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

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

No annotations are present, so the description carries the transparency burden. The verb 'List' implies a read-only operation and 'declares' indicates per-sprite scope, but there is no explicit statement about side effects, project state requirements, or error behavior. For a simple inspection tool this is modest but acceptable.

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 sentence, front-loaded with the action and object, with no filler. Every word contributes to understanding what the tool does.

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

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

For a simple listing tool, the description plus complete input schema and output schema cover the essential information. The main gap is the absence of usage routing relative to sibling tools, but this is a minor shortfall given the tool's low complexity.

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

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

The input schema fully documents both parameters (path and sprite), so the description does not need to add parameter detail. The description adds only the context that the listed assets belong to a sprite, which is already reflected in the schema. Baseline 3 is appropriate.

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 ('List') on a clear resource ('costumes and sounds a sprite declares'), making the tool's purpose immediately obvious. It is easily distinguished from asset-modifying siblings like project_add_costume and project_add_sound.

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 use this tool versus alternatives such as sb3_list_sprites, project_summary, or project_info. No exclusions or selection criteria are provided, so an agent must infer usage from the name and schema.

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 disclosure burden. It does well by mentioning side effects: scaffolding a directory with specific files, adding a blank costume, creating goboscript.toml, and making the project active. It could add more about the active-project replacement behavior or reversibility, but the core mutation is clearly disclosed.

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

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

The description is concise, front-loaded with the main purpose, and every sentence earns its place. The second sentence adds concrete scaffolding details without unnecessary 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 simple project-creation tool, the description covers what is created and that the new project becomes active. It has a rich output schema and fully documented parameters, so missing return-value details are not a gap. It could be slightly more complete with explicit alternative routing, but it is sufficient for correct 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 100%, so the input schema already documents path, git, and published_project_id. The description adds no parameter-level detail, which is acceptable under the baseline because the schema fully compensates.

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 ('Create a new goboscript project'), the resource, and a key outcome ('make it the active project'). It also differentiates the tool from siblings like project_open and project_download by describing project creation and scaffolding rather than opening or downloading.

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 clear context: use this to create and activate a new goboscript project from scratch. It does not explicitly name alternatives or when-not-to-use conditions, but the 'new project' framing makes the intended usage unambiguous.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It states the tool registers and activates a project, but it does not mention side effects, validation of goboscript.toml, whether it changes stored state, what happens to the previously active project, or whether it is safe and reversible. This is meaningful 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, front-loaded sentence with no filler or repetitive wording. It efficiently communicates the action and the object without restating the tool name.

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 is simple with only two parameters and an output schema exists, so the return shape does not need to be explained here. However, the description omits useful operational context such as what 'active' means for subsequent tool calls, whether the project is validated, and how this relates to other project-oriented siblings. It is minimally sufficient but not richly 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 100%, so the input schema already documents both parameters. The description adds no extra meaning about path or published_project_id beyond what the schema provides, so baseline 3 is appropriate.

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 ('Register') and a clear resource ('existing goboscript project directory'), and it adds the stateful consequence 'make it active,' which separates it from generic open or info tools like sb3_open_project or project_info. It does not explicitly name a sibling or define what 'active' means, but the core purpose is unambiguous.

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

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

The description implies a workflow—registering and activating an existing goboscript project—but gives no explicit when-to-use guidance or exclusions. It does not mention alternatives or explain how this differs from spy_open_project, sb3_open_project, or project_check_toolchain, leaving the agent to infer when this tool should be selected.

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 behavioral burden and clearly discloses that the assets/ file is left in place. This directly addresses the main destructive concern for a removal tool. It does not cover persistence or failure modes, but the key side effect is transparent.

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

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

Two compact sentences with the action first and the important caveat second. There is no redundant information or filler.

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

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

Together with the fully described input schema and the presence of an output schema, the description is complete for invocation. It conveys what is removed, what is preserved, and which sprite/kind is affected.

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

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

Schema description coverage is 100%, so the schema already documents kind, name, sprite, and path. The description adds no new parameter-level guidance beyond restating the allowed kinds.

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?

Describes a specific operation with a clear verb and resource: removing a costume or sound declaration from a sprite. The second sentence distinguishes it from asset-deleting tools by noting the file stays in assets/, which is an important scoping detail.

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 clear context: this tool removes a declaration while preserving the underlying file, which is exactly the decision point an agent needs. It does not explicitly name alternatives like sb3_remove_costume or sb3_remove_sound, but the context is enough to infer when to use it.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that the tool builds before uploading, reuses the project id on later saves, uploads assets separately because they are required for correct rendering, and refuses TurboWarp-only extensions. This is strong behavioral context, though it stops short of covering authentication prerequisites or detailed failure modes.

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?

Every sentence earns its place: the first sentence states the core action, and the following sentences explain lifecycle, asset handling, and an important rejection behavior. It is dense but not bloated, with no tangents or repeated schema 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?

For a tool with five optional parameters, an output schema, and no annotations, the description covers the important behavioral details: project id reuse, asset upload rationale, and the TurboWarp extension refusal. It is complete enough for routine use, though it could additionally clarify what happens when no active session exists.

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

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

Schema description coverage is 100%, so the schema already documents all five parameters in detail. The description adds useful behavioral context around building and uploading but does not substantially extend the meaning of the parameters themselves, which keeps this at the baseline.

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 the project and upload it to scratch.mit.edu—and clarifies that it targets the active session. It is clear and specific, though it does not explicitly differentiate itself from similar sibling tools such as sb3_push_to_scratch or sb3_save_project.

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 when the tool is appropriate by mentioning the first-save vs. later-save lifecycle and warning that TurboWarp-only extensions will be refused. It does not explicitly name alternatives or state when not to use this tool in favor of a sibling, so the guidance is 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. It does disclose the key stateful behavior: selection determines the target of subsequent project_* tools. However, it does not mention whether the selection persists, whether an invalid path causes an error, or whether any prior selection is replaced.

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 with no filler. The core scoping information ('which open project... other project_* tools act on') is front-loaded and every word earns its place.

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

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

For a simple one-parameter selector with an output schema and full schema parameter documentation, the description is nearly complete. The only shortfall is the lack of explicit behavioral detail about persistence and error handling, but no major information needed to call the tool correctly 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 schema provides 100% coverage for the single `path` parameter, describing it as a path from `project_list`. The tool description adds no additional parameter-specific meaning, so the baseline score of 3 applies.

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

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

The description names a specific verb ('Choose'), a resource ('which open project'), and the tool's role in the family ('the other project_* tools act on'). This makes it clearly distinguishable from sibling tools like project_list, project_open, and project_new, and from all other project_* operations.

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

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

It clearly states when to use the tool: before other project_* tools, to set which open project they act on. It does not explicitly name alternatives or say when not to use it, but the role as a context selector is unambiguous and sufficient for a simple one-parameter 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?

No annotations are provided, so the description carries the full burden. It explains the underlying mechanism (Scratch generates thumbnails, grey placeholder), the conditional SVG-to-raster conversion, and the default fallback to the Stage's first backdrop. It does not mention permissions or error cases, but for a simple setter this is adequate; the absence of any contradiction with annotations (none exist) keeps this from being a 5.

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 well-organized: a clear lead sentence followed by practical context and a note on the ideal resolution (480x360). Each sentence earns its place—no filler—though the explanation of Scratch's thumbnail generation could be considered slightly verbose, it is still purposeful.

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 prerequisites (published project, rasteriser availability), the default behavior, and directs to the alternative tool. An output schema exists, so return values need not be described. Minor gaps like error handling or permissions are acceptable for a straightforward setter.

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

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

Schema description coverage is 100%, so parameters are already documented. The description adds meaningful context: what happens when `file` is omitted (backdrop used) and the format constraints (SVG only with a rasteriser). This goes beyond the schema's dry field descriptions.

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 ('Set') and a resource ('thumbnail of a published project'), clearly distinguishing it from the sibling `project_save_to_cloud` which performs the same action automatically. The purpose is unambiguous and the tool's scope is well-defined.

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?

Explicitly directs the agent: 'use this tool to change it afterwards' and notes that `project_save_to_cloud` does this automatically. This makes the decision between the two tools clear, leaving no ambiguity about when to invoke 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It clearly indicates a read-only inspection operation, discloses that it requires a prior build, and mentions a warning condition (source edited since the .sb3 was written). This is strong transparency for a simple read tool.

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 tightly written with no wasted sentences. The opening line states the core purpose, the middle gives concrete verification examples, and the final line covers the prerequisite and a warning behavior. Every sentence earns its place.

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

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

For a tool with one optional parameter and an output schema, the description is complete. It specifies the input, the prerequisite build step, the kind of information returned, and a notable warning condition. An agent has enough information to decide when and how to call 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?

The single parameter 'path' is already fully documented in the input schema with a description and default value, so schema coverage is 100%. The tool description adds no additional parameter meaning, but none is really needed here; the baseline of 3 is appropriate.

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 ('Inspect', 'Reads') and a concrete resource ('the built .sb3'), and states exactly what it reports: target counts, costumes, sounds, variables, lists, and asset usage. It clearly distinguishes itself from build-related siblings like project_build by focusing on post-build verification.

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 explicit context: use it after building to verify a build did what you intended, and it explicitly states the prerequisite 'run project_build first'. It does not name alternative inspection tools or explicitly say when not to use it, but the usage context is clear and actionable.

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?

There are no annotations provided, so the description carries the full burden of behavioral disclosure. It mentions '(proxied)' which hints at some indirection, but does not explain what proxying entails (e.g., network call, side effects, state changes). It does not state whether this is a read-only or mutating operation, though 'Add' implies mutation. It does not disclose any side effects or limitations.

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, which is efficient, but it is too sparse to be considered complete. It lacks critical information, so it is not well-structured in terms of content. It gets a neutral score for being short but not adding much value.

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 only one parameter and no annotations, but the description is extremely thin. It doesn't cover the meaning of 'name', the context in which broadcast messages exist, or any constraints. Given the tool is part of a large Scratch editing environment, more context is needed for correct invocation. The absence of output schema details (though output schema exists) is not a major issue, but the lack of parameter guidance and usage context is a significant gap.

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

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

The input schema has 0% description coverage and the only parameter 'name' is a bare string with no description. The description does not explain what 'name' should be: a unique identifier, a human-readable label, or the broadcast message text itself. No format constraints or examples are provided, so the agent must guess.

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 ('Add') and resource ('broadcast message'), which is clear. However, it does not distinguish this from sibling operations like sb3_add_sound or sb3_add_costume, beyond the resource type. The description is minimal and lacks detail about what a broadcast message is in the Scratch 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?

No guidance is given on when to use this tool versus alternatives. It does not specify prerequisites, such as having a project open or a sprite selected, nor does it indicate whether it applies to the stage or a sprite. The agent has to infer usage from the 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 provided, the description carries the full burden of behavioral disclosure. It only says the operation 'adds' a comment, with no mention of side effects, required project state, validation behavior, or what the '(proxied)' parenthetical means. The ambiguity of 'proxied' 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?

The description is terse, but under-specification is not conciseness. The phrase '(proxied)' is vague and takes up space without earning its place. A four-parameter mutation tool needs more than a single 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?

Despite having an output schema and a long sibling list, the description is not complete enough for an agent to confidently call this tool. It omits usage context, parameter meaning, coordinate semantics, and clarification of 'proxied'.

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 parameter documentation. The roles of 'target' and 'text' are inferable from their names, but 'x' and 'y' defaulting to 0 are unexplained, and no coordinate system, units, or required format is described.

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: 'Add a sprite comment.' This makes the core action clear. It does not strongly distinguish this from the sibling sb3_set_comment, but 'add' versus 'set' reasonably implies creation versus updating, so the purpose is understandable.

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 this tool versus alternatives such as sb3_set_comment, sb3_list_comments, or sb3_remove_comment. The description provides no context about prerequisites, project state, or selection criteria.

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

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

No annotations are provided, so the description carries the full burden. It says 'Add a costume from a file' but doesn't disclose whether this modifies the current project in memory, requires saving, overwrites existing costumes, or what happens with invalid file paths. The '(proxied)' term is unexplained. For a mutation tool with zero annotation coverage, this is a significant 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?

The description is extremely short (one sentence), which is concise, but it omits essential context. The '(proxied)' parenthetical is cryptic and doesn't earn its place without explanation. It's under-specified rather than efficiently complete.

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 4 parameters, 0% schema coverage, no annotations, and an output schema present, the description is inadequate. An agent cannot determine what 'target' refers to, what file formats are supported, or what the output schema represents. The sibling list shows many related tools, but this description doesn't help an agent navigate them.

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 only mentions 'from a file' which hints at the 'path' parameter, but doesn't explain 'target', 'name', or 'dataFormat'. The description adds minimal meaning beyond the schema's bare parameter names.

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 clear verb and resource: 'Add a costume from a file.' This distinguishes it from sibling tools like sb3_add_sound and sb3_remove_costume. However, it doesn't explicitly mention the target/scope (e.g., which target the costume is added to) or differentiate from project_add_costume, so it's clear but not fully differentiated.

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

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

No guidance on when to use this tool versus alternatives like project_add_costume or sb3_add_sound. The description doesn't mention prerequisites (e.g., a project must be open, target must exist) or context for when adding a costume is appropriate. The '(proxied)' note hints at some indirection but doesn't explain it.

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

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

With no annotations provided, the description carries the full behavioral burden, but it only says the operation adds a sound from a file. It does not disclose side effects, whether existing sounds are overwritten, target requirements, or any proxied behavior beyond the unexplained word '(proxied)'.

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 brief and front-loaded, but the parenthetical '(proxied)' is cryptic and does not earn its place. The single sentence is concise yet too under-specified to be considered well-structured.

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

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

For a 4-parameter tool with no annotations and zero schema description coverage, this description is far from complete. Even with an output schema available, an agent cannot determine what the parameters mean, how to supply them, or how this operation relates to sibling sound 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 compensate for the undocumented parameters, but it does not explain 'target', 'name', 'path', or 'dataFormat'. The phrase 'from a file' only weakly implies that 'path' is a file path.

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 'Add a sound from a file' states a specific verb and resource, making the core operation clear. However, it does not distinguish this tool from the sibling 'project_add_sound', which also appears to add sounds, so it stops short of full sibling 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?

There is no guidance about when to use this tool rather than project_add_sound or other asset-related tools. The parenthetical '(proxied)' hints at some environmental context but does not explain appropriate use cases 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?

No annotations are provided, so the description carries the full burden. It discloses that the tool is 'proxied' (suggesting a pass-through) but gives no information about side effects, required permissions, failure modes, or how the operation behaves (e.g., whether it overwrites, appends, or validates). For a mutating tool, this is a significant 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?

The description is extremely brief (one sentence), which is concise, but it is under-specified rather than efficiently structured. It front-loads the core action, which is good, but omits essential usage and behavioral details. The parenthetical '(proxied)' is cryptic and does not contribute to clarity.

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

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

Given the tool's simplicity (2 parameters, no nested objects) and the presence of an output schema, the description might be adequate in isolation, but it lacks any guidance on usage context, parameter constraints, or typical invocation patterns. With many sibling tools, the absence of differentiation makes it incomplete for reliable agent selection.

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 clarifies that 'props' is a JSON object string, but provides no detail on what properties the JSON may contain or how 'name' is used. The schema itself only lists types and defaults; the description adds minimal value beyond that, and the lack of examples or constraints leaves the agent guessing.

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

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

The description states the primary action 'Add a sprite' with a clear verb and resource, distinguishing it from related operations like sb3_remove_sprite and sb3_set_sprite. However, it does not explicitly differentiate from other 'add' tools (e.g., sb3_add_costume, sb3_add_sound), but the resource (sprite) is clear enough. The mention of 'props' adds a hint of configurability.

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

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

No guidance on when to use this tool versus alternatives. It does not mention when not to use it, or any conditions that would make another tool more appropriate. The description only states what it does, leaving the agent to infer when to apply it, which is insufficient for a tool with many siblings.

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 behavior. 'Read' indicates a non-mutating operation, but it does not mention any prerequisites (e.g., cloud variables enabled) or edge cases. It is minimal but not misleading.

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?

A single sentence with no redundant words. The action and target are front-loaded, making it immediately scannable.

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

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

Given the simple nature (one parameter, read-only) and the presence of an output schema, the description covers the essential purpose. It does not elaborate on limitations, but for a basic read tool this is acceptable.

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 only hints that 'for a project' relates to project_id but does not explain the parameter's format, source, or validation requirements. The agent gets little guidance beyond the parameter name.

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

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

The description clearly states the action (read) and the resource (current cloud variable values for a project). It distinguishes itself from sibling sb3_cloud_set_var (write) and sb3_cloud_logs (logs) without ambiguity.

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 it is the read counterpart to sb3_cloud_set_var and sb3_cloud_logs, but it does not explicitly state when to use it over alternatives or mention any exclusions. Usage context is inferred 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 of behavioral disclosure. It does not state whether this is a read-only operation, what constitutes an activity log entry, how 'recent' is defined, or whether pagination or limits apply. The word 'log' hints at non-mutating behavior, 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?

The description is a single short sentence with no filler words. It is front-loaded with the core subject and avoids redundancy with the title.

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 tool is simple and has an output schema, the description still leaves key selection and invocation context unspecified: what an activity log entry looks like, what limit controls, and when to prefer this over cloud variable tools. The output schema helps but does not replace usage guidance.

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 needed to compensate. It only mentions 'a project,' which loosely maps to project_id, but it says nothing about the limit parameter or how these parameters affect the returned log. The schema provides basic names and types, but not behavioral meaning.

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

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

The description clearly identifies the resource: recent cloud activity logs for a project. It is specific enough to distinguish itself from cloud variable reads/writes like sb3_cloud_get_vars and sb3_cloud_set_var, though it lacks an explicit verb like 'retrieve'.

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 use this tool versus alternatives, nor does it mention any prerequisites or exclusions. The only usage signal is the phrase 'for a project,' which only implies it needs a project_id.

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 only states the action without mentioning side effects (e.g., that this mutates cloud data), permission requirements, rate limits, or return behavior. For a write operation, 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?

The description is a single, concise sentence with no filler. However, it is so minimal that it offers almost no structural information or context, making it barely more than a tautology of the tool name. It is concise but not informative enough to score higher.

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 three required parameters and an output schema, the description should at least clarify what the parameters mean (e.g., value format, whether it's a string or number) and any constraints. With only a bare action statement, the description is wholly inadequate for correct 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 gives zero explanation of the three parameters (project_id, name, value). The agent has to infer their meaning from names alone, which is insufficient for a cloud variable setting tool where value formatting and name restrictions matter.

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 verb 'Set' and the resource 'cloud variable value', distinguishing it from plain variable setters like sb3_set_variable by explicitly mentioning 'cloud'. However, it does not explicitly call out sibling alternatives, so it stops short of a 5.

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

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

The description provides no guidance on when to use this tool versus the many related tools (e.g., sb3_cloud_get_vars for reading, sb3_set_variable for non-cloud variables). There is no mention of prerequisites, context, 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?

There are no annotations, so the description carries the behavioral disclosure burden. It notes the operation is 'proxied' and implies a destructive delete, but it does not explain side effects, irreversibility, target scoping, or whether any confirmation or safeguards exist.

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 front-loaded, with no filler. However, the parenthetical '(proxied)' is unexplained and the overall terseness crosses from concise into under-specified, leaving the agent without enough 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?

For a tool with two required string parameters, no annotations, and zero schema coverage, the description is too skeletal. It does not explain how to identify the list, whether 'target' is a sprite/project identifier, or what behavior to expect after deletion.

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 provides no information about what 'target' or 'name' mean. An agent cannot determine whether 'name' is the list name, a variable name, or something else, nor what 'target' refers to.

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 ('Delete a list') and resource, and the tool name/title reinforce this. It distinguishes at least from sibling sb3_delete_variable by targeting a list rather than a variable, though it does not explain what kind of list or in what 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?

No guidance is given for when to use this tool versus alternatives such as sb3_delete_variable, sb3_set_list, or related project/sprite tools. The phrase 'Delete a list' implies a use case but provides no prerequisites, exclusions, or alternative routing.

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

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

With no annotations, the description must carry the behavioral burden. It states only that deletion occurs and that it is 'proxied,' but does not disclose irreversibility, effect on the project, permissions, or what happens if the variable does not exist.

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 sentence is very short and front-loaded, but the parenthetical 'proxied' is vague and does not clearly earn its place. The brevity is appropriate for the two-parameter operation, but it sacrifices useful detail.

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

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

An output schema may cover return values, but an agent still needs context about variable scope, target semantics, and the delete operation's effect on the project. The description is too sparse to fully support correct 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 gives no meaning for 'target' or 'name' beyond the bare schema. It does not specify that target identifies the sprite/stage scope or what form name should take.

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

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

The description states the exact operation: 'Delete a variable.' The verb and resource are specific, and the name distinguishes it from sibling tools like sb3_delete_list and sb3_set_variable, 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?

No guidance is provided about when to delete a variable, whether it applies to the current target/sprite, or how this compares with sb3_set_variable or the cloud variable tools. The reader is left to infer scope and prerequisites.

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

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

No annotations are provided, so the description must carry behavioral disclosure. It only notes '(proxied)' and the registration effect, but does not explain side effects, whether registration is idempotent, network dependencies, or any reversibility. This is thin for a state-changing operation.

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

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

The description is a single efficient sentence plus a useful parenthetical. It front-loads the core purpose and contains no filler.

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

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

For a tool with no annotations and undocumented parameters, the description is too sparse. It leaves important questions about the 'url' parameter, registration behavior, and failure modes unanswered, despite an output schema being present.

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. 'Extension' loosely implies that 'id' identifies an extension, but 'url' is completely unexplained. The description adds minimal meaning beyond the raw parameter names.

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 ('Register') and resource ('an extension') and states the purpose ('so its blocks load'). It is not a tautology and clearly identifies the tool's function, though it does not explicitly differentiate from sibling tools.

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

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

The phrase 'so its blocks load' implies the use case: enable an extension when its blocks are needed. However, there is no explicit guidance about when not to use it or which alternative tool might be preferred.

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 behavioral burden. The verb 'List' and the explicit output fields convey that this is a read-only retrieval, but it does not disclose authentication needs, ordering, pagination, or handling of unknown users. This is adequate but has clear gaps.

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

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

The description is a single, front-loaded sentence with no filler. It names the action, the subject, and the output contents in under ten words.

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

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

For a simple one-parameter list tool with an output schema present, the description captures the core invocation requirements. It is slightly incomplete because it omits session/auth expectations, but the low complexity and output schema prevent this from being a major gap.

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

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

Schema coverage is 0% and the description adds no parameter-specific guidance: it never explains the expected username format, casing, or that the favorites belong to the given username. The phrase 'a user's favorited projects' is the only clue that the username identifies the favorites owner.

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 and resource ('List a user's favorited projects') plus the returned fields ('id + title'). This makes its purpose instantly distinguishable from the many sibling tools, such as social_get_user_info or project_list.

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 instead of related tools, whether an active session/login is required, or whether favorites are public vs private. The description only names the action, so the 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 carries the burden. 'Query' signals a read-only operation, 'proxied' adds a transport/behavioral note, and 'not the VM' clarifies that no VM execution is involved. It does not explicitly state that nothing is mutated, but the query language and the tool's purpose make that reasonably clear.

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

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

The description is concise, front-loaded with the action, and each sentence contributes meaningful context. The parenthetical '(proxied)' is slightly vague and could be expanded or removed, but overall the prose is tight.

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 core purpose, filter semantics, and prerequisite, and the output schema covers return shape. Yet it omits meaning for two schema parameters (hat and limit), and the topLevel-only phrasing is ambiguous against the actual parameter list. An agent could therefore mis-set filters or wonder how to express 'topLevel-only'.

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 usefully explains that opcode is a substring and that filters combine with AND, and it mentions fieldValue and inputName. However, it leaves hat and limit unexplained, and the 'topLevel-only' filter does not directly correspond to any schema parameter, creating ambiguity.

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 ('Query'), resource ('every target's blocks map'), and scope ('in the open project'). This clearly distinguishes it from sibling tools like sb3_get_target or sb3_list_blocks by emphasizing all targets.

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 a clear precondition ('Needs an open project') and an explicit exlusion ('not the VM'). It does not name an alternative sibling tool or explain exactly when to prefer this over sb3_list_blocks, so it falls just short of full routing guidance.

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

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

With no annotations, the description must carry behavioral context. It does disclose that the operation is '(proxied)' and that it returns the full schema, but it does not describe error behavior, scope, or any limitations of the proxy.

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

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

The description is concise and front-loaded, carrying the core purpose plus a useful proxying note with no filler.

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

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

The output schema covers return shape, and the operation is small, but the description omits the meaning of the optional target parameter and how opcode values are obtained. Minimal but viable for an agent that already knows the opcode.

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 explain parameters. It clarifies that 'opcode' selects one opcode, but it says nothing about the 'target' parameter or valid opcode values/formats, leaving the agent to guess.

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

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

The description states the resource clearly: 'Full schema for one opcode incl. shadow encodings', which is more informative than the tool name alone. It does not explicitly contrast with block-listing/finding siblings, so it loses the top point.

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 one opcode' implies the use case of retrieving a single opcode's schema, but the description gives no explicit when-to-use/when-not-to-use guidance or mention of alternatives among the many sb3 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, the description carries the full behavioral burden. It discloses that both sprites and the Stage are valid inputs and that the call is proxied, but it never explains what proxied means (latency, auth, or data freshness implications), how unknown names are handled, or whether any side effects exist.

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 contributes. The '(proxied)' parenthetical is slightly cryptic but adds a behavioral hint without bloating the text.

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 low-complexity, single-parameter getter with an output schema, the core purpose is covered. However, the unexplained proxy behavior and the unstated parameter semantics are gaps an agent must guess at; the lack of sibling differentiation also weakens completeness.

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 never explicitly states that 'name' is the target's name, nor whether an internal or display name is expected. It is inferable from the tool name and purpose, but the description adds essentially no meaning beyond 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 'Full details for a sprite or Stage' names the resource (a target) and the nature of the operation (returning complete details), so an agent can grasp the core purpose. It does not, however, differentiate itself from the near-identical sibling sb3_get_target_json, and the verb is implicit rather than stated.

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 sb3_get_target_json, sb3_list_sprites, or sb3_get_target_json. The parenthetical '(proxied)' hints at a mechanism, not at usage context, and no conditions, prerequisites, or exclusions are provided.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state what 'proxied' means (e.g., network calls, performance implications), whether the tool returns the entire raw block or subtree, or whether it depends on a loaded project. It does not disclose any side effects (likely none) or permissions needed. The term 'Raw' suggests no processing, but that is not elaborated.

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 (one sentence) and front-loads the key idea. It is not verbose. The parenthetical '(proxied)' is an extra detail but not explained, yet it does not waste much space. Given the minimalism, it earns a 4 for efficiency.

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 an output schema, but we are not shown its content. The tool is relatively simple (2 params, no nested objects), but zero parameter descriptions and lack of usage context make it incomplete. An agent would struggle to know what to pass for 'pointer' and what to expect. Given no annotations and no schema descriptions, the description is insufficient for correct 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%, meaning the schema provides no descriptions for 'name' or 'pointer'. The description only mentions 'target' and 'JSON Pointer', which maps to 'name' and 'pointer' respectively, but this is minimal. It does not explain the format of 'pointer' (e.g., JSON Pointer syntax), default behavior when pointer is empty, or what 'name' refers to (target name?). With 0% coverage, the description must compensate but does not, leaving two parameters almost completely 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 states it retrieves a 'Raw project.json entry for a target, or subtree at a JSON Pointer', which clearly indicates the resource (project.json) and the operation (retrieve). However, it lacks specificity about what a 'target' is and how it relates to siblings like sb3_get_target (which likely retrieves a processed target). The verb is implied ('get') but not explicit. It is more than a taautology, but it does not fully distinguish from similar tools.

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

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

No explicit guidance on when to use this tool versus alternatives. The mention of 'JSON Pointer' hints at advanced use but no context is given. Among siblings, there is sb3_get_target, sb3_list_sprites, and others, but the description does not state when to prefer this raw JSON retrieval over those. The proxy annotation '(proxied)' is mentioned but not explained.

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 disclosure burden; it states what the tool reports (targets, block counts, assets) and implies a non-destructive read operation. However, it does not address edge cases such as invalid or non-unpacked directories, whether anything is modified, or any side effects, leaving safety properties to inference.

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?

A single eight-word sentence with zero filler: the action, the resource constraint ('unpacked'), and the output contents are all front-loaded and every word 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 single-parameter tool with an output schema, the description covers the essential 'what' and provides the key parameter clue (unpacked directory). It is incomplete in that the tool's 'diff' naming is left unexplained and its relationship to similarly purposed siblings (project_summary, sb3_project_info) is never clarified.

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 'project_dir' is only typed as a required string, so the description's 'unpacked project dir' is the sole semantic guidance for the parameter. It usefully disambiguates the parameter as a directory path rather than a packed .sb3 file, but it does not specify path formats, absolute/relative requirements, or behavior on invalid input.

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 ('Summarise') and resource ('an unpacked project dir'), and enumerates the covered contents ('targets, block counts, assets'). However, it does not differentiate this from overlapping siblings like project_summary or sb3_project_info, and the title 'Diff' versus the action 'Summarise' creates some ambiguity about whether the tool computes differences.

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 qualifier 'unpacked' implies the tool is used on directories produced by an unpack step (e.g., sb3_git_unpack) rather than packed .sb3 files, which is a genuine usage constraint. But no alternatives are named, no when-not-to-use conditions are given, and nothing routes an agent away from similarly purposed siblings like project_summary or sb3_project_info.

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 behavioral burden. It does not disclose whether an existing .sb3 file is overwritten, whether the directory is modified, or any other side effects beyond 'packing.'

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 or redundant phrasing. The core operation is stated immediately and the wording is efficiently compact.

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 undocumented parameters, this description is too sparse to fully support correct invocation. An agent cannot confidently determine source vs destination semantics, existing-file behavior, or expected input formats without additional 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 schema has 0% description coverage and the properties are only bare names: 'sb3_path' and 'project_dir.' The description does not clarify which parameter is the source directory and which is the output archive, leaving the direction of the operation 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 uses a specific verb and resource: 'Pack a diffable directory back into an .sb3.' The word 'back' implies this is the inverse of unpacking, which helps distinguish it from sb3_git_unpack, though it does not explicitly name sibling tools.

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

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

The phrase 'diffable directory' and 'back' imply this tool is used after unpacking or editing a project directory, but the description gives no explicit when-to-use guidance, prerequisites, or alternatives. Usage context is suggested 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, the description carries the behavioral burden. It does disclose that the tool creates a directory containing project.json and assets/, which is meaningful output behavior. It does not mention whether out_dir must already exist, whether it is created or overwritten, or what happens on invalid input.

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 with no filler. The key operation and output format are placed right in the main clause, and every word contributes to 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?

For a simple two-parameter tool with an output schema, the description gives the core purpose and expected output layout. However, the complete absence of annotations and parameter descriptions leaves important invocation details unaddressed, such as directory creation/overwrite behavior and path semantics.

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

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

Schema description coverage is 0%, but the two parameter names are self-explanatory and the sentence 'Unpack an .sb3 into a diffable directory' establishes sb3_path as the input and out_dir as the output. The description adds some semantic context beyond the bare schema, but it does not explain path requirements, format expectations, or whether out_dir will be created.

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 ('Unpack'), a clear resource ('.sb3'), and the output form ('diffable directory (project.json + assets/)'). It is easy to distinguish from the sibling sb3_git_pack and sb3_git_diff by meaning, though it does not explicitly name or contrast any 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 phrase 'into a diffable directory' implies the tool is for preparing an .sb3 for version-control or diff workflows, which gives some usage context. However, it never states when to prefer this over sb3_git_pack, sb3_git_diff, or related project tools, and gives no exclusions or prerequisites.

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

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

With no annotations, the description must carry behavioral weight. It usefully states that this is a proxied catalog sourced from scratch-vm and can be filtered by category, implying a read-only operation. However, it does not explain category value handling, failure behavior, or what counts as 'standard' beyond the source.

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. It states the resource, the optional filtering behavior, and the proxied nature in very few words.

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

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

For a simple one-optional-parameter tool with an output schema, the description is minimally viable: it says what is returned and that category can filter it. But it omits any comparison to sibling tools and leaves category vocabulary unspecified, so context 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 schema has one parameter 'category' with 0% description coverage, so the description must compensate. 'Optionally by category' does clarify that the parameter filters the catalog, but it does not enumerate valid values or define behavior for unknown categories. This is minimal compensation.

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 ('standard opcodes from scratch-vm') and an optional modifier ('by category'), which makes the tool's purpose understandable. It lacks an explicit verb and does not differentiate it from sibling block-related tools, but the catalog/list intent 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 given for when to use this tool versus alternatives such as sb3_get_block_schema, sb3_find_blocks, or spy_list_block_types. The only usage hint is that category filtering is optional, which is not enough to route an agent.

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?

There are no annotations, so the description carries the full burden of behavioral disclosure. 'List' implies a read-only operation and 'proxied' hints at a relayed request, but there is no explanation of what proxying means, whether an active project or selected sprite is required, or any side effects. These gaps are not compensated by 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 only four words plus a parenthetical, and every element is relevant. It is front-loaded with the core operation and avoids any fluff. 'proxied' is terse but not redundant.

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 an output schema, the description is minimally viable, but it leaves the agent without context about active project/selected sprite requirements, the meaning of 'proxied', or the relationship to sibling comment tools. It is sufficient for a simple 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?

The tool has zero parameters and an empty schema, so the baseline is 4 and the description does not need to document parameter details. Nothing about parameters is missing or misleading.

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 ('List') and resource ('sprite comments'), and the 'sprite' qualifier distinguishes it from social comments and from sibling mutation tools like sb3_add_comment, sb3_set_comment, and sb3_remove_comment. The name and description together leave no ambiguity about the 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?

No guidance is given for when to use this tool instead of alternatives. It does not mention that this is the read counterpart to sb3_add_comment/sb3_set_comment/sb3_remove_comment, nor how it differs from social_get_comments. The agent must infer usage from the tool name 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions output scope and the cryptic '(proxied)' tag; it does not state read-only behavior, project context, or any error/edge-case 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 short and front-loaded, with no filler. The only questionable element is '(proxied)', which is unexplained and may confuse rather than clarify.

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 parameters and an output schema present, the required context is minimal. Still, the description omits that this lists sprites in the currently open project and leaves '(proxied)' undefined, so it is adequate but not fully 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?

The tool has zero parameters, so there is no parameter ambiguity for the agent to resolve. The description does not need to add parameter details because the schema is already complete and trivial.

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 resource (sprites) and the included fields (position/size/media), which is enough to distinguish it from block/target tools. However, it is phrased as a noun fragment rather than an explicit verb phrase like 'Lists every sprite...'.

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 sb3_get_target or sb3_get_target_json. It also does not mention that it operates on the currently open project, which is important context for correct invocation.

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 burden. It only says 'Load' and '(proxied)', without revealing side effects, whether the current project is replaced, file access requirements, or error behaviors. The '(proxied)' hint is unexplained and does not constitute meaningful behavioral transparency.

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 short sentence with no filler. Every word earns its place, though the parenthetical '(proxied)' is terse and could be more explicit. Structure is clean and front-loaded.

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 annotations and a simple schema, the description leaves important context unaddressed: what happens to unsaved work, whether loading is reversible, and what 'proxied' means for file handling. The output schema may cover return values, but the tool's invocation context remains incomplete.

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 implies that 'path' points to a .sb3 file, but gives no details about path format, accessibility, or validation. This is minimal compensation for the undocumented 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 states a specific verb ('Load'), resource ('.sb3 file'), and destination ('Node editor'), which clearly distinguishes this tool from siblings like project_open and sb3_vm_load. The parenthetical '(proxied)' adds a technical detail but does not obscure 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 gives no guidance on when to use this tool versus alternatives such as project_open, sb3_open_scratch_project, or sb3_vm_load. The intended use is only implied by the verb and resource, with no mention of exclusions or prerequisites.

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

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

With no annotations, the description carries the full behavioral disclosure burden. It does reveal that the operation downloads from scratch.mit.edu, is proxied, and is intended for editing. It does not mention whether the current project is replaced, whether authentication is required, or whether any local state is mutated.

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 one short sentence plus a parenthetical, with no filler. The primary action, target resource, and useful caveat ('proxied') are front-loaded and each word 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 one-parameter tool with an output schema, the description covers the core action well enough to guess correct usage. It is incomplete in that it lacks id-format details and fails to guide selection among the many sibling open/download 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 coverage is 0% and the description only says 'by id', without clarifying the expected format (e.g., numeric Scratch project ID, URL, or project name). The single parameter name 'projectId' is helpful, but the description does not compensate for the missing schema documentation.

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

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

The description uses a specific verb ('Download') and identifies the resource ('a scratch.mit.edu project by id') and purpose ('for editing'), which makes the operation concrete. However, it does not differentiate itself from close siblings like sb3_open_project or project_open, so it stops 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?

There is no guidance on when to use this tool versus alternatives such as sb3_open_project, project_open, project_download, or spy_open_project. 'For editing' hints at intent but does not state conditions, exclusions, or preferred usage contexts.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only adds '(proxied)' and the patch format. It does not mention whether the target must already exist, whether changes persist, what happens on invalid patch syntax, or whether this is a mutating operation beyond the verb '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 a single, focused sentence with no filler. It front-loads the core action and format, though its brevity comes at the cost of missing usage and behavior 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?

For a tool with no annotations, low schema coverage, and an output schema not described, the definition is too sparse. An agent would not know how to identify the target, what a valid patch payload looks like in practice, or what response to expect.

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 only clarifies that patch is a JSON string. The 'name' parameter is unexplained, leaving the agent to infer that it identifies the target.

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 ('Apply RFC 6902 JSON Patch') and a clear resource ('a target'), which differentiates it from most sibling tools that set individual properties or read target state. However, 'target' is not explicitly defined as a sprite/stage or by a parameter, leaving some ambiguity.

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 on when to use this tool versus alternatives like sb3_set_variable, sb3_rename_target, or sb3_get_target. The description only states what the tool does, not the conditions under which patching is the right 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 provided, so the description carries the full burden. It only mentions 'proxied' which hints at network behavior but doesn't clarify side effects, auth, or read-only nature. It fails to disclose whether the operation is safe or has any limitations.

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 short and front-loaded, containing no filler. However, it is almost too terse, omitting useful context that would aid an agent. It is concise but not well-rounded, earning a middle score.

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 simplicity (no parameters) and presence of an output schema, the description is partially complete. It lists the types of information returned, which helps, but it doesn't clarify the scope (e.g., what 'meta' includes) or whether any special conditions apply. It's adequate but not thorough.

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

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

The tool has zero parameters, so the schema fully defines the input. The description doesn't need to explain parameters. The baseline of 4 is appropriate since there is nothing to add.

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

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

The description states the tool returns targets, extensions, monitors, and meta of the open project. This is a specific verb-resource pair and is clear enough to distinguish from many siblings, though it doesn't explicitly name alternatives. It's not a tautology and conveys 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 provides no guidance on when to use this tool versus alternatives like project_info or sb3_get_target. There is no mention of context, exclusions, or conditions, leaving the agent to infer usage.

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

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

With no annotations, the description must carry behavioral disclosures. It adds 'confirm-gated' and 'proxied', which are useful, but it omits key behavior for a write/push operation: authentication requirements, remote side effects, reversibility, or what happens when confirm is false.

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 one concise, front-loaded sentence with useful parentheticals. There is no filler, but it is so terse that it sacrifices important behavioral and parameter 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?

For an external push/mutation tool with no annotations and low parameter coverage, the description is too thin. It does not state prerequisites, what 'proxied' means for execution, or what projectId refers to. The presence of an output schema mitigates return-value concerns but not the other gaps.

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

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

Schema description coverage is 0%, so the description needs to explain the parameters. 'confirm-gated' loosely hints at the confirm boolean, but projectId is not explained at all. This is insufficient for an agent to know how to set or omit projectId.

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 states a clear action and target: 'Save the open project back to scratch.mit.edu'. This is specific and distinguishes it from generic save tools, though it doesn't explicitly differentiate from sibling save/push tools like sb3_save_project or project_save_to_cloud.

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 wording implies this is for persisting the currently open project to scratch.mit.edu, and 'confirm-gated' hints that confirmation is needed. However, there is no explicit when-to-use guidance, no alternatives named, and no mention of prerequisites or when not to use it.

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

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

With no annotations, the description must carry the behavioral disclosure burden. It reveals that the operation is a load through a bridge and is proxieed, but it does not state whether the current project is replaced, whether TurboWarp Desktop must be running, or what side effects or errors may occur.

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. The '(proxied)' suffix is concise though somewhat cryptic.

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

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

Despite a simple one-param signature, the description is too thin to fully guide invocation: it lacks path semantics, side effects, and interaction with the current project. Overlapping sibling tools increase the need for a richer description.

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

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

The schema has one 'path' paramater with 0% description coverage. The description's 'from disk' clarifies that path refers to a local .sb3 file, but it does not explain path format, the default empty string, or whether extensions are required.

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 ('Load an .sb3 from disk') and a specific environment ('TurboWarp Desktop via bridge'), making the tool's core purpose clear. It does not explicitly contrast with siblings like sb3_open_project or project_open, so it falls 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?

No guidance is given about when to use this tool versus the many overlapping project-opening siblings. The parenthetical '(proxied)' hints at a special context but does not explain a decision rule for 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool lists remix lineage but does not disclose whether it requires a loaded/open project, whether it makes network calls, what happens for projects with no remixes, or the exact structure of the returned lineage. The output schema exists but the description adds minimal behavioral context beyond the basic action.

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

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

The description is a single, short sentence that front-loads the action and resource. It is concise and readable, though it omits useful context that could be added without much bloat.

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 one required parameter, no annotations, and an output schema, the description is too thin. It does not clarify the project_id semantics, whether the project must be open, or how the remix lineage is structured. The output schema may define the return shape, but the description still leaves key invocation context unclear.

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 only mentions 'project_id' implicitly by saying 'for a project'. It does not explain what format the project_id should take (e.g., numeric Scratch project ID vs. a local identifier), nor how it relates to the project currently open in the environment. With a single required parameter and zero schema description, the description should compensate but does not.

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

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

The description states a specific verb ('List') and resource ('remix lineage info for a project'), and specifies the fields returned (id, title, author). It is clear and distinct from siblings like sb3_project_info or social_get_project_info, though it doesn't explicitly name a sibling to differentiate from.

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 retrieving remix lineage, which is a distinct use case among the many project-related siblings. However, it does not explicitly state when to use this over alternatives like sb3_project_info or social_get_project_info, nor does it mention any prerequisites (e.g., project must be open or loaded).

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 only says 'Remove a sprite comment. (proxied)' and does not mention irreversibility, required permissions, side effects on replies, error behavior, or authentication. The 'proxied' note adds minor context but does not meaningfully disclose operational consequences.

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-loaded, with no wasted words. The parenthetical '(proxied)' is somewhat vague but not redundant. It earns a high score for efficiency, though it is perhaps too terse to fully support the tool's usage.

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 destructive mutation tool with no annotations, the description is too thin. It does not clarify how to get a comment_id, whether the operation is reversible, what happens if the comment does not exist, or whether the comment is a code comment versus a social comment. Although an output schema exists, key operational context 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 has one required parameter, comment_id, with 0% schema description coverage. The description does not mention comment_id or explain how to obtain it, what format it should be in, or how it relates to the sprite comment being removed. The parameter name is somewhat self-explanatory, but the description adds no real semantic 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 states a specific verb and resource: 'Remove a sprite comment.' This clearly identifies the action and the target. It also differentiates from sibling tools like sb3_add_comment, sb3_set_comment, and sb3_list_comments by focusing on deletion, so an agent can distinguish it without opening schemas.

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 a sprite comment needs to be removed. However, it provides no explicit guidance about alternatives, prerequisites, or exclusions, such as when to use sb3_set_comment instead or whether the project must be open first.

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 bears the full burden of behavioral disclosure. It states the removal action but gives no details about side effects, reversibility, validation, or the behavior behind the parenthetical 'proxied'. The 'proxied' hint is opaque and not explained.

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

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

The description is very short and front-loaded, which is structurally efficient. However, it is under-speccified: the unexplained 'proxied' parenthetical and complete absence of parameter or usage context make it feel sparse rather than deliberately 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?

For a mutation tool with no annotations and zero parameter documentation, the description is not complete enough. Although an output schema exists, the lack of explanation for target/name, proxy behavior, and side effects leaves significant gaps for an agent deciding how to invoke the tool safely and correctly.

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

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

Schema description coverage is 0% and the description provides no explanation of the required 'target' and 'name' parameters. The parameter names are somewhat self-evident, but the description does not compensate for the missing schema documentation, leaving an agent to guess their roles and accepted 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 states a specific action, 'Remove a costume,' which clearly identifies the tool's purpose and distinguishes it from sibling tools like sb3_remove_sound and sb3_remove_sprite. However, it adds little beyond the tool name and does not explain the 'proxied' qualifier, so it is clear but not fully enriched.

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 over alternatives such as project_remove_asset or sb3_remove_sound. The description does not mention prerequisites, target types, or any conditions that would help an agent select 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states a destructive action ('Remove') but doesn't mention side effects, requirements (e.g., target must exist), or whether the change is reversible. The '(proxied)' hint is unexplained and provides no actionable behavioral information.

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 brief (one sentence plus a parenthetical), so it is concise. However, it omits essential details, and the '(proxied)' suffix is unclear and detracts from the message. It is under-specified rather than efficiently structured.

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

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

For a tool with two undocumented parameters, no annotations, and a non-trivial operation within a project-editing system, this description is grossly inadequate. An agent cannot correctly invoke it without knowing what target and name refer to, how they relate to a sound, or what the expected outcome is.

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 provides no explanation of the 'target' and 'name' parameters. The schema only lists them as required strings with no descriptions, so an agent has no idea what values to provide or how they relate to the sound removal.

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 clear verb and resource: 'Remove a sound.' This distinguishes it from siblings like sb3_add_sound or sb3_remove_costume, though it doesn't clarify what a 'sound' is in the context of the project or that it operates on a target. The parenthetical '(proxied)' is ambiguous and doesn't add to purpose clarity.

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 on when to use this tool versus alternatives such as sb3_remove_costume or sb3_remove_sprite. There are no prerequisites, context about project state, or exclusions. An agent would have to infer usage from the name 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Remove a sprite' and '(proxied)', which does not explain side effects, whether the removal is permanent, whether it affects the current project, or what the output schema contains. The term 'proxied' hints at indirection but is not elaborated.

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 short and front-loaded, which is efficient, but the parenthetical '(proxied)' is cryptic and the brevity sacrifices necessary context. It is concise but not sufficiently informative.

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 an output schema and one parameter, the description is too sparse. It does not explain the effect on the project, the meaning of 'proxied', or how this relates to sibling sprite tools like sb3_set_sprite or sb3_add_sprite. An agent would need to inspect the output schema and other tools to use it correctly.

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

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

Schema description coverage is 0%, and the description does not explain the 'name' parameter beyond its literal meaning. The description adds no information about what name refers to (e.g., sprite name, target name) or any constraints, leaving the agent to infer from 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 description 'Remove a sprite. (proxied)' states a clear verb and resource, so an agent knows the tool removes a sprite. However, it does not distinguish this from sibling tools like sb3_remove_costume or sb3_remove_sound, and the term 'proxied' is ambiguous without further explanation.

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 on when to use this tool versus alternatives. The description does not mention prerequisites, such as whether the sprite must be loaded or selected, nor does it explain what 'proxied' means in terms of 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 carries full responsibility for behavioral disclosure. It only says 'Rename' and '(proxied)', which implies mutation but offers no details on side effects, error conditions, or what happens on conflicts. The 'proxied' hint is cryptic and unexplained.

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 short, but this is under-specification rather than conciseness. It lacks structure, offers no front-loaded critical details, and leaves the 'proxied' note unexplained. The one-sentence format is not a model of efficiency when key 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?

Given the low complexity (two string params) and presence of an output schema, a fuller description is expected. The description omits how to identify the target, what 'proxied' means, any constraints on naming, and what the return value represents. 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?

The input schema has no descriptions (coverage 0%), and the description provides no explanation of 'name' and 'newName'. Although the names are intuitive, the description adds zero semantic value beyond the schema itself, and with 0% coverage, the description fails to compensate.

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 clear action: 'Rename a sprite/stage target.' It identifies the resource (target) and the operation (rename). While it doesn't explicitly differentiate from sibling tools like sb3_patch_target or sb3_set_sprite, the name and verb make its purpose fairly 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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, how to specify a target (by name? by ID?), or what the 'proxied' qualifier means. An agent would have no idea when this is the right choice over sb3_patch_target or other target-modifying 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?

No annotations are present, so the description must disclose behavior on its own. It only states 'Green flag' and '(proxied)'; it does not explain side effects like stopping or restarting execution, resetting project state, or requiring a connected TurboWarp Desktop instance. The parenthetical 'proxied' is ambiguous.

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, which suits a zero-parameter tool. However, it is fragmentary rather than a full sentence, and 'proxied' is left unexplained, so it falls short of a perfect 5.

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 side-effecting action with no annotations and no parameters, the description should provide more context: preconditions, bridge requirements, and observable effects. The presence of nearly identical sibling tools makes the missing differentiation costly, so the description is not complete enough for confident invocation.

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