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

With no annotations, the description carries the full burden, and it does disclose real behavioral traits: no scripts/message text/authors/copied implementations are returned, and community-only APIs remain unverified. That is useful privacy and reliability context, but it never says what the audit actually computes, what permissions are needed, or how 'directory' is interpreted.

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 tight sentences with no filler; the purpose is front-loaded and the constraint/context follows. Efficient, though the two halves could be integrated for slightly less repetition.

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 exists, so return values need not be explained, and the privacy caveat is covered. Still, for a tool with no annotations and an undocumented required parameter, the description omits the audit's criteria and the expected directory structure, leaving meaningful 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?

The single required parameter 'directory' has 0% schema description coverage, so the schema does not compensate. The description says nothing about what the directory must contain or how the export is laid out, leaving the one input field effectively 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?

States a specific verb (audit) and resource (structured community script export) plus a scope qualifier ('aggregate API and mechanic signals only'). It is distinguishable from the validate_* siblings, though the description never names how it differs from them explicitly.

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

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

'Use for user-provided reference datasets' gives an implied trigger condition, which is more than nothing. However, there is no when-not guidance, no prerequisite (e.g. export must already exist on disk), and no routing to sibling tools like validate_script.

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 reports documented support, missing features, and a proposed future contract, and that it is advisory before implementation work, but it does not state read-only safety, auth needs, or rate limits. The output schema can cover return details.

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 tight sentences with no waste. The main purpose is front-loaded, and the usage context follows immediately without redundancy.

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

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

For a zero-parameter capability-reporting tool with an output schema, the description is mostly complete: it says what it reports and when to call it. It could be stronger by explicitly relating itself to runtime_capabilities or clarifying that the output is advisory, but no critical agent need 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 input parameters, so there are no parameter semantics to document. The empty schema is fully covered, and the baseline for zero params is 4.

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 reporting action and names the areas covered: documented chat support, missing formatting features, and a proposed future API contract. It is clearly chat-specific, distinguishing it from runtime_capabilities in practice, but it does not explicitly name or contrast with that 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?

It gives explicit pre-call guidance: call before building chat tags, command suppression, rich text, team-colored player names, segmented messages, or send-as-player behavior. It does not state when not to use it or name an alternative tool, but the usage context is clear.

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

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

With no annotations, the description carries the full burden and does: it discloses that tokens are not persisted or returned, that token/folder/glob are retained in process memory, that the watcher starts or stops per watch, that legacy helper files are removed, and that validation and in-game execution are separate steps. These are non-obvious side effects an agent needs before invoking a write 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?

Front-loaded with the core action and then segmented into Inputs / Effects / Context, which is easy to scan. It is on the long side and some sentences (legacy-helper cleanup behavior) could be tightened, but nearly every line carries actionable information.

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

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

For a 7-parameter mutation tool with no annotations, the description covers inputs, side effects, session persistence, cleanup behavior, and even notes the output schema's return fields. An agent has everything needed to call it correctly and understand the consequences.

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 compensates by documenting all 7 parameters inline with defaults and meaning beyond the schema (e.g. glob_pattern falls back to bwconfig.lua syncGlob then scripts/**/*.lua; directory defaults to reusing the prior connection; probe/allow_empty interaction). This is strong, though the inline prose is dense rather than exhaustive on edge cases like token expiry semantics.

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

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

Opens with a specific verb and resource plus scope: 'Upload a folder immediately and establish or replace the active Code Sync connection.' It explicitly distinguishes itself from sync_directory ('same upload/session behavior but always requires directory') and sync_connected, so an agent can route correctly without opening sibling 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?

Gives explicit when-to-use routing: establish/refresh a reusable connection then use sync_connected to avoid resending inputs; set watch=false for manual syncing; preview first with preview_directory_sync; use probe=true only for an explicitly requested visible test. Alternatives and exclusion conditions are all named.

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 and meets it: it discloses that parent folders are created, that the write is an atomic replace with no backup, and explicitly that it does not prepare metadata, validate, or upload. It also warns that a running matching watcher may upload the file and clarifies that sync selects the target section rather than invoking Code Sync.

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?

Although long, it is tightly organized into labeled Inputs/Effects/Returns segments with the routing guidance front-loaded, and every sentence carries decision-relevant information (side effects, non-behaviors, follow-up tools).

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 exists so return values need not be restated, yet the description still summarizes the return shape; combined with the effects, exclusions, and sibling routing, an agent has everything needed to select and correctly invoke the 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?

Schema description coverage is 0%, so the description must compensate and does: each of the four parameters is given meaning beyond its type — directory as project root path, file_name as a relative .lua path, code as complete Lua source, and sync as a selector between scripts/ and drafts/ with a stated default plus the prefix-tolerance rule.

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 first sentence gives a specific verb and resource ('Save supplied Lua code under a user-selected project directory') and immediately distinguishes this from the two sibling creators by scoping it to a user-supplied local path. An agent can route between create_directory_script, create_project_script, and create_script without opening any schema.

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?

Explicit 'Preferred when the user supplies a local directory path' plus named alternatives for the other two cases ('Use create_project_script for a named MCP-managed project or create_script for the MCP root's scripts/'). It also prescribes the follow-on workflow: validate with validate_directory_script, then preview_directory_sync and connect_sync or sync_directory.

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 usefully discloses the artifact's behavior (prints event order and payload fields) and its temporary lifecycle ending in deletion, but says nothing about where the script is written, whether syncing mutates a connected project, or any permission/auth requirements. Adequate but with real 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?

Two short blocks with the purpose front-loaded and the workflow stated as a compact imperative sequence. Little waste, though the workflow sentence compresses four distinct steps into one line without much structure.

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 exists so return values need not be explained, and the lifecycle is conveyed. But with zero annotation coverage and 0% schema description coverage on four parameters, the definition leaves too much of the call surface unstated for a create-style 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?

Schema description coverage is 0% across 4 parameters, so the description must compensate. It partially does: 'Sync it' maps to the sync flag and the enumerated event names hint at event_names, but directory vs file_name semantics and the file_name default are never explained, leaving half the parameters undocumented.

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

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

States a specific verb and resource ('Create a temporary Lua script') and narrows the purpose to printing event order and documented payload fields. It is distinguishable from generic siblings like create_script or make_script by its event-tracing framing, though it never names those siblings to confirm the distinction.

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

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

The Context sentence gives a clear trigger (tracing ProjectileLaunched, ProjectileHit, EntityDamage, or other documented events) and a concrete four-step workflow: sync, reproduce, inspect Host Panel Console, delete. No explicit when-not or named alternative is given, so it stops short of a 5.

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

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

With no annotations, the description carries the full burden. It discloses the created directory layout and the sync-upload semantics, which is useful, but says nothing about overwrite/idempotency behavior if the project already exists, permissions, or that project.json contents are generated rather than supplied.

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

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

Two short sentences, front-loaded with the action and its output, followed by a context clause. Every sentence earns its place; no padding or redundancy.

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

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

The output schema means return values need not be described, and the folder-structure sentence is genuinely informative. But for a creation tool with zero annotations and completely undocumented parameters, the definition leaves key invocation and side-effect questions unanswered.

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% for both parameters (prompt, project_name), so the description must compensate and does not: neither parameter is mentioned, nor are defaults, format, or meaning. An agent cannot tell what project_name should be or how prompt is used.

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 (create) and resource (project folder) and enumerates the artifacts produced: sync/, drafts/, prompts/, project.json. This lets an agent distinguish it from read/list siblings, though it does not distinguish itself from the similarly named prepare_directory_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?

"Use for repo-managed projects" gives a positive usage condition, and "only sync/ files are intended to upload" clarifies intent. However, no alternative is named (prepare_directory_project, create_project_script) and there is no when-not guidance, leaving routing 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 behavioral burden and does so well: it discloses parent-folder creation, atomic replacement without backup, no metadata preparation, no validation, no direct upload, and possible watcher upload. The sync parameter is clarified as a folder selector rather than an upload 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 front-loaded with purpose and then organized into Inputs, Effects, Returns, and Context. Despite being detailed, every section adds operational value: parameter semantics, side effects, output details, prerequisites, and upload guidance.

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 a complex create-script operation with four parameters, no annotations, and an output schema, the description covers everything an agent needs: prerequisites, side effects, return values, alternatives, and upload limitations. The output schema handles structured return shape, and the description still summarizes returned fields.

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 define parameter meaning, and it does: project_name is a project name not a path, file_name is a relative .lua path inside the chosen section, code is Lua source, and sync defaults true to sync/ or false to drafts/.

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: save Lua code in a named MCP-managed project under scripts/projects/. It clearly distinguishes itself from create_directory_script and create_script by naming project-name scope and MCP-managed layout.

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 says to choose this for a project identified by name, directs users to create_project first when project metadata is needed, and names create_directory_script for arbitrary directories. It also explains the upload glob caveat, so the agent knows how this tool fits into the workflow.

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 thoroughly discloses effects: creates parent folders, atomically replaces existing files without backup, trims trailing whitespace, writes a final newline, does not validate or upload, and returns specific output fields; it also notes a possible watcher upload.

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?

Front-loaded with the core action, then systematically covers inputs, effects, returns, and selection context. Every sentence contributes useful information without waste, despite the description being multi-sentence.

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 exists, but the description still provides a complete operational picture: side effects, sibling alternatives, validation advice, and watcher caveats. Nothing essential for correct invocation 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 description coverage is 0%, so the description must compensate. It does so by explaining that file_name is a required relative .lua path with an example (examples/reward.lua) and that code is the complete Lua source, adding meaning beyond the bare string types.

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 'Save' and resource 'Lua code to a file relative to the MCP project root's scripts/ folder'. Explicitly distinguishes itself from siblings by naming create_directory_script, create_project_script, and make_script with their distinct conditions.

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?

Provides explicit when-to-use guidance ('Choose for a quick file under the MCP root') and clearly routes to alternatives for other directory or project types. Also advises validating with validate_script before uploading and warns about watcher behavior.

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 and does disclose deletion plus optional archiving and a directory-wide sync side effect. However, it omits irreversibility warnings, default archive/sync behavior, permission requirements, and what sync=false does.

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

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

Two sentences, front-loaded with the action and scope; the second sentence adds behavioral context without filler. No redundant or vague phrasing.

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

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

Because an output schema exists, return values do not need description. Yet for a destructive, unannotated tool with 0% parameter description coverage, the definition is only partially complete: it covers purpose and sync context but leaves parameter semantics and safety details underexplained.

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

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

Schema description coverage is 0% across 4 parameters, so the description must compensate. It mentions archive and sync conceptually but does not explain the 'directory' or 'file_name' parameters, nor clarify the sync boolean's effect.

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?

Specific verb 'Delete' and resource 'Lua script' scoped to an outside folder project's scripts/ or drafts/ folder. It distinguishes this from generic delete_script/delete_project_script by naming the directory-project context, so an agent can identify the right 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?

Implies use for directory-project scripts via the scope, and notes a sync follow-up after deleting from scripts/. But it does not explicitly say when to choose this over delete_script, delete_project_script, or other deletion tools, nor 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?

No annotations are supplied, so the description carries the full behavioral burden. It does disclose the archiving option ('optionally archiving it first'), which is useful context for a destructive operation, but it never states whether the deletion is permanent/reversible, what archive=true actually does (move vs. copy), or what permissions are required.

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 destructive action and its scope are front-loaded in the first sentence, and the second sentence delivers routing context with no filler. Slightly verbose in the context sentence but every clause arguably earns its place for sibling disambiguation.

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 exists so return values need no explanation, but for a destructive tool with no annotations and no parameter descriptions, the definition leaves material gaps: the meaning of the 'sync' flag and the permanence of the deletion. Adequate but not complete.

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

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

Schema description coverage is 0% for four parameters, so the description must compensate. It partially does: it explains the 'archive' flag and the folder location implied by the tool, but 'sync' (default true) and the required project_name/file_name semantics are left entirely unexplained.

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 (delete) and a precisely scoped resource (a Lua script within a repo project's sync/ or drafts/ folder), which immediately separates it from delete_script and delete_directory_script. An agent can identify the target of the operation without opening the schema.

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

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

It gives clear routing guidance: repo project folders are 'local organization helpers,' and for active Roblox Code Sync the agent should use directory project tools plus sync_directory/connect_sync. This names an alternative and the condition that selects it, though it doesn't explicitly cover the sibling delete_script/delete_directory_script distinction.

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 disclosure burden. It helpfully clarifies that the deletion is local to the repo (remote removal requires a separate sync) and that archiving is optional before deletion, but says nothing about reversibility of the archive, permissions, or 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?

Two short sentences, front-loaded with the core action and followed by the workflow context. No filler, though the second sentence is a bit loosely tied to the tool itself rather than to calling it.

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 two-parameter mutation tool with no annotations but an existing output schema, the description covers the essential local-vs-remote behavior and the follow-up sync step. It is adequate but thin on safety and parameter detail, leaving gaps that neither the schema nor annotations fill.

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

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

Schema description coverage is 0%, so the description must compensate. It does explain the 'archive' parameter ('optionally archiving it first', consistent with default true) and implies file_name points at a script in scripts/, but gives no format guidance (extension, relative path) beyond that.

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 ('Delete a Lua script') and scopes it to 'the MCP repo's scripts/ folder', which distinguishes it from the project/directory delete variants by location. It stops short of naming those siblings, so the differentiation relies on the agent reading the folder scope.

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

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

The 'Context' sentence gives a clear usage condition: perform a local delete, then sync the project/directory if the remote editor must also drop it. This tells the agent when this tool is the right entry point and what follow-up action is required, though it never names the alternative delete tools or states when not to use this one.

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 the main effects (forget token, stop watcher) but omits permissions, reversibility, or error behavior, which are relevant for a state-changing 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?

Two tight sentences with the core action front-loaded and a labeled context sentence. No waste.

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

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

For a zero-parameter tool with an output schema, the description adequately covers what it does and when to use it. Minor gaps remain around error states and sibling alternatives, but none are critical.

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

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

The tool has no parameters, so the baseline is 4. The empty schema and 100% coverage mean no additional parameter semantics are 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?

States a specific verb and resource: forgetting the in-memory Code Sync token and stopping the connected watcher. The purpose is clear, but it does not explicitly differentiate itself from siblings like stop_sync_watch or sync_connected.

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?

Provides clear context for when to use it: token expiry, Roblox session changes, or wanting to stop reusing the token. It does not mention when not to use it or name alternative 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 burden and does well: it discloses that edits are deterministic, unsupported instructions fail without changes, writes are atomic, a .bak backup is retained, and no-op edits preserve the existing backup. It omits permissions/auth context, but for a file-edit tool the transactional semantics are the key behavioral facts.

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 tight sentences with no filler, and the core action is front-loaded before the instruction-format context. Dense but every clause (formats, failure mode, backup behavior) 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?

An output schema exists, so return-value explanation is rightly omitted, and the behavioral disclosure is good. But for a mutation tool with no annotations and 0% parameter coverage on four inputs, the description leaves the directory/file_name/sync semantics entirely unaddressed, which is a substantive 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 description coverage is 0%, so the description must compensate, and it only partially covers one of four parameters (instructions syntax). The required 'directory' and 'file_name', plus the 'sync' flag, are left completely undocumented, forcing the agent to guess their 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?

States a specific verb+resource: 'Apply a deterministic edit to an outside project script and return a unified diff.' The 'outside project' scope hints at the distinction from edit_script, but it never names or contrasts the sibling explicitly, leaving the boundary to inference.

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 'Context' sentence explains the accepted instruction formats (replace/append/prepend/fenced Lua), which is real usage guidance for the instructions parameter. However, it gives no when-to-use vs edit_script, no prerequisites, and no alternatives for the directory-scoped tool family.

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 disclose a genuine side effect (a .bak backup is retained), which is useful, but says nothing about permissions, what happens on a failed or ambiguous instruction, whether the edit is reversible, or any size/complexity limits on 'small' edits.

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 tight sentences, zero filler, with the core action and its side effect front-loaded ahead of the routing 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?

An output schema exists, so return values need not be explained. However, for a mutation tool with no annotations and two completely undescribed parameters, the description leaves meaningful gaps around instruction format, failure 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 coverage is 0% and both parameters are required, so the description must compensate and largely does not. It hints at the nature of 'instructions' ('instruction-driven edit') but gives no format, syntax, or constraint guidance, and 'file_name' is never clarified as a path relative to scripts/.

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 (edit), resource (repo-local script), and mechanism (instruction-driven, small edit) plus the .bak backup side effect. The 'repo-local' scoping implicitly separates it from the directory-script siblings like edit_directory_script.

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 says to use it for narrow edits to scripts/ files and names an alternative path for files outside project folders. It does not, however, name edit_directory_script or create_directory_script's counterpart directly, leaving the repo-vs-directory boundary to be inferred from the sibling list.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It says nothing about whether the tool is read-only, what permissions are required, whether it makes network calls, or what side effects (if any) it has. Only the purpose and a usage trigger are provided.

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

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

Two sentences, front-loaded with the core purpose, followed by a concise usage context. There is no filler or repetition, and 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?

The tool has a required input with no schema description and no annotations, yet the description does not specify what to pass or how the tool behaves. Although an output schema exists to cover return values, the input side and behavioral profile remain too vague for reliable invocation.

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

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

Schema description coverage is 0% and the single parameter error_text has no description in the schema. The description does not explain what the error text should contain (e.g., raw console line, full stack trace) or any formatting expectations. Parameter semantics are effectively 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 a specific verb (Explain) and resource (common Lua console errors) plus an additional action (suggest likely fixes). It is clearly distinct from siblings like read_runtime_console or validate_script, but it does not explicitly name or contrast alternatives, which keeps it from 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?

It provides a clear context trigger: 'Use when the in-game Console tab reports runtime errors after a sync.' This tells the agent exactly when to reach for it. However, it does not mention when not to use it or point to alternative tools for related tasks.

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. 'Show' implies a read-only inspection, but it does not explicitly state that the tool is non-destructive, whether it has side effects, or what the 'refresh command' output entails. For a zero-parameter status tool the risk is low, but the disclosure is only adequate.

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

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

Two short sentences. The primary action is front-loaded, and the usage context follows immediately without any 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 description covers what the tool does and when to call it, and an output schema exists so return values need not be explained. The only minor gap is that 'refresh command' is not elaborated, but for a simple status tool this is not a serious omission.

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

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

The tool has zero parameters, so there is nothing for the description to clarify beyond the schema. The baseline score of 4 applies for a parameterless tool.

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

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

The description states a specific verb ('Show') and resource ('local Roblox BedWars Fandom cache status and refresh command'), making the tool identifiable. It does not explicitly distinguish itself from siblings like search_fandom_cache or read_fandom_page, but the status-oriented purpose is clear.

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

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

It gives a clear when-to-use rule: 'Use before Fandom searches to confirm whether gameplay/wiki data has been collected.' No when-not or alternative tool is named, but the context is sufficient for correct selection in most cases.

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

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

With no annotations, the description carries the full burden and does so richly: it enumerates every file/directory created or replaced, warns that local files change even with probe=false, notes main.lua is preserved while brief/metadata may be replaced, and states the in-memory connection is swapped and watch applied on success. It also lists negative capabilities (no allow_empty, no delete-all, cannot start a match or read the console).

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?

Well front-loaded with labeled Inputs/Effects/Returns/Context sections, and every sentence carries information. It is dense and somewhat long, but virtually nothing is filler given the zero schema coverage.

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?

Output schema exists so return values need not be detailed, and the description still summarizes them. For a six-parameter mutation tool with no annotations and no schema descriptions, all the information an agent needs to invoke it safely is 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 coverage is 0% (only titles), so the description must compensate and does: each of the six parameters is documented with required/optional status, defaults, and meaning (e.g. glob_pattern default source, probe_message generated when empty, watch semantics). The custom-glob caveat ('must include the generated files') adds behavior beyond the type.

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 first sentence names a specific verb chain (prepare files, write probe, upload, retain connection) applied to a directory, and the Context section explicitly differentiates it from sync_directory as a first-sync troubleshooting tool rather than a normal uploader.

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 states when to choose it ('only for explicit first-sync troubleshooting when project preparation or a visible in-game message is wanted') and when not to ('use sync_directory for normal existing-file uploads'), and clarifies it is not a stronger remote-state check.

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

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

With no annotations, the description carries the full behavioral burden. It does disclose that only the scripts/projects/ subtree is enumerated and that both sync/ and drafts/ entries appear, which is useful scoping, but says nothing about read-only nature, ordering, sizing, or whether unlisted/hidden projects are excluded.

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

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

Two short sentences, purpose first, context second — every clause earns its place with no filler or redundancy.

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

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

An output schema exists, so return values need not be explained, and a no-parameter list tool needs little more than scope plus usage. The definition is nearly complete, with only ordering/completeness semantics left implicit.

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 takes zero parameters, so there is nothing to disambiguate and the baseline is 4. The description adds no parameter-level detail, but none 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?

States a specific verb (List) and resource (organized projects) with a clear location scope (scripts/projects/), so an agent knows exactly what is enumerated. It does not distinguish itself from the neighboring read_project/create_project tools, which caps it below 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 'Context:' sentence gives a concrete use case — discovering repo-managed project folders — and signals the sync/ versus drafts/ distinction to look for. No alternatives or exclusions are named (e.g., when to prefer read_project), so it stops short of 5.

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

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

With no annotations, the description carries the full burden and does so thoroughly: it discloses cached API checks, the exact write path under scripts/, overwrite behavior, that unsupported prompt patterns fail without generating a file, that prompt numbers do not customize the template, and that the tool does not directly upload. These details give an agent the behavioral context needed to invoke it safely.

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 front-loaded with the action and scoping, followed by inputs, effects, constraints, and alternatives. It is dense but mostly earns its length, though the explicit list of return fields is somewhat redundant given the output schema exists.

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 lack of annotations, an output schema, and many sibling tools, the description is complete enough for correct selection and invocation. It covers purpose, routing, inputs, effects, failure modes, and return shape without requiring the agent to infer critical constraints.

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 single prompt parameter, and it does. It states prompt is a required non-empty string, explains that supported patterns select among three fixed templates, and clarifies that prompt numbers do not customize the output and that supplied Lua code, directories, or filenames are not accepted.

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 compound action: generate, save, and statically validate a fixed Lua starter template from a text prompt. It clearly differentiates this tool from siblings like create_script and create_project_script by scoping it to fixed starter templates rather than custom source. An agent can tell what the tool does without opening the schema.

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 says to choose this only when a fixed starter is sufficient and names the alternatives for custom Lua or a specific destination: create_script, create_project_script, or create_directory_script. It also routes complex mechanics to resolve_creative_mechanic and recommend_algorithm before authoring, giving clear when-to-use and when-not guidance.

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

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

No annotations are provided, so the description carries the full burden. It usefully discloses the file/directory structure it creates, but says nothing about overwrite behavior, whether existing content in the folder is preserved, permission requirements, or side effects of overwrite_main.

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

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

Two short sentences, front-loaded with the primary action and its artifacts, with the usage trigger second. No filler; every phrase carries information.

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

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

An output schema exists, so return values need not be described, and the artifact list is helpful. However, for a tool that writes into an arbitrary existing folder, the lack of parameter documentation and overwrite/side-effect disclosure leaves notable 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% and only bare titles are given for four parameters. The description does not explain prompt, main_code, or overwrite_main at all, and only loosely implies directory, so it fails to compensate for the undocumented 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?

States a specific verb (prepare) and resource (a local folder as a project) and enumerates the concrete artifacts created (scripts/, drafts/, prompts/, bwconfig.lua, metadata). It implicitly distinguishes itself from siblings like create_project by scoping to an existing outside folder, though it does not name them directly.

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 context line gives a clear trigger: when the user points at an outside folder and wants it organized for Code Sync. It provides solid when-to-use context but names no alternatives or exclusions (e.g., when to prefer create_project or read_directory_project instead).

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 so: it discloses config respect (bwconfig.lua), exclusion of legacy generated helpers, reporting of intentional delete-all behavior, that no token is required, that no local files are changed, and that remote editor state is invisible. That is an unusually complete side-effect and safety profile for a mutation-adjacent 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?

Two sentences plus a labeled 'Context' block, front-loaded with the trailing 'without uploading' qualifier. Efficient, though the phrase 'intentional delete-all behavior' is terse enough to require interpretation.

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 exists, so return values need not be restated, and the description covers preconditions, side effects, and limitations well. The only substantive gap is parameter semantics, which is the description's weakest area.

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

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

Schema description coverage is 0% across 4 parameters, and the description only obliquely touches 'validate' and does not explain 'allow_empty' (which governs delete-all detection) or 'glob_pattern' scoping at all. The one required parameter, directory, is only implied. This leaves most caller-facing knobs 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?

States a specific verb (preview) plus the resource (directory sync) and enumerates exactly what is surfaced: upload files, sizes, hashes, basename collisions, and Lua validation. The 'without uploading' clause cleanly separates it from sync_directory and force_sync_directory in the sibling 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?

'Use before normal directory sync' gives a clear trigger condition, and 'This cannot inspect remote editor state' draws a boundary. It does not explicitly name the alternative tools (sync_directory vs force_sync_directory) or say when a preview is unnecessary, so it stops short of 5.

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

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

No annotations exist, so the description carries the full burden. It usefully discloses that the operation runs "without shell commands" and is a read-style inspection, but says nothing about permissions, side effects, or whether the returned lists can be large.

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 tight sentences with the primary action front-loaded and a supplemental context line. No filler, though the "Context:" line is somewhat redundant with the first sentence's intent.

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 exists, so return values need not be explained. Purpose and usage timing are covered, and the sole parameter is at least hinted at; the definition is complete enough to invoke, with only minor gaps around path expectations.

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 has 0% schema description coverage, so the description must compensate. It implies the argument is a "user-provided folder path" and an "outside folder project," which loosely maps to the directory param, but adds no format, absolute-vs-relative, or validation detail.

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 (Inspect) and resource (outside folder project) and enumerates what it returns: metadata, prompt, bwconfig, and script file lists. This distinguishes it from the generic read_project/read_script siblings, though it does not explicitly name those alternatives.

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?

"Use before editing or syncing any user-provided folder path" gives a clear timing/context cue, and "replaces PowerShell directory scans" clarifies the workflow it belongs to. No explicit when-not or named alternative tool, so it falls short of a 5.

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

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

No annotations are provided, so the description carries the full burden. It implies a safe read operation and discloses the search scope (scripts/ and drafts/) plus the intended read-before-mutate workflow, but says nothing about error behavior, whether the read has side effects, or how the 'sync' flag changes runtime behavior.

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

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

Two sentences, front-loaded with the action and scope, with the Get-Content parallelization arriving as useful secondary context. Nothing is padded, though the second sentence could have used its space to explain the parameters instead.

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, return values need not be described, and the read target is clear. The remaining gap is the unexplained 'sync' parameter and absent annotation coverage, leaving the agent uncertain about side effects.

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

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

Schema description coverage is 0% across three parameters, and the description explains none of them. The 'sync' boolean (default true) is the most consequential unknown and is left entirely unexplained, so the description does not compensate for the coverage gap.

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

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

States a specific verb and resource ('Read a Lua script') and scopes it to an 'outside folder project's scripts/ or drafts/ folder', which separates it from the plain read_script sibling. The only weakness is that the distinction from read_script is described by location rather than named directly.

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 gives when to use it ('inspect user project scripts before editing, validating, or syncing') and frames it as a replacement for PowerShell Get-Content, which anchors it against a familiar alternative. It does not state when to prefer read_script or read_project instead of 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 burden. It adds useful behavioral context by saying the data is cached, includes mutability markers, and that only fields marked modifiable should be assigned. However, it does not cover permissions, rate limits, or other operational traits.

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

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

Two short sentences, front-loaded with what the tool does and followed by when to use it. There is no redundant or wasted 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 simple one-parameter read tool with an output schema, the description covers what is returned and the primary usage context. The main gap is lack of detail about the event_name parameter, but the output schema handles return values.

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% for the single required parameter event_name. The description implies it is an event identifier ('for one event', 'Events.* handlers') but does not specify format, case, accepted values, or examples, leaving the parameter largely 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 a specific verb ('Read') and resource ('one event'), and enumerates the returned data: cached callback parameters, mutability, source links, and examples. It is clear but does not explicitly distinguish itself from sibling read tools like read_type or read_object.

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

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

It gives clear context: use before wiring Events.* handlers so Lua uses documented fields and only assigns modifiable fields. It does not list when not to use it or name alternative tools, but the intended usage moment is 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 add real behavioral context beyond the schema – the content is cached, and source URL plus CC-BY-SA attribution must be preserved – but it never says what happens on a cache miss or whether include_text defaults affect cost/size. Read-only nature is only implied.

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

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

Two short sentences with zero waste. The purpose is front-loaded and the routing/attribution guidance follows; every clause earns its place.

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

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

An output schema exists, so return values need not be described, and the licensing note is a useful extra. Still missing for an unannotated read tool: cache-miss/error behavior and any hint about the include_text flag's effect on the response.

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% for two parameters. The description implies the title parameter exists and must be known, but adds no format guidance (exact title casing, URL vs title), and 'include_text' — the parameter most likely to be misused — is never mentioned or explained.

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 with scope: 'Read one cached Roblox BedWars Fandom page record.' The word 'one' plus 'cached' distinguishes it from search_fandom_cache and the many other read_* siblings without requiring the schema to be opened.

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 positions it after search_fandom_cache and gives the precondition ('when a page title is known'), which effectively rules out calling it without a title. No explicit when-not statement or alternative for the no-title case, so it falls just short of the top band.

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 usefully discloses that content is cached and includes properties, methods, examples, and source links, but it omits permissions, rate limits, failure behavior, and an explicit read-only/no-side-effects statement.

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 tight sentences with the purpose front-loaded and the usage context immediately after. Every phrase adds information, and there is no filler or redundancy.

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

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

An output schema exists, so return values need not be described. For a one-parameter read tool, the description covers purpose, usage context, and parameter examples, though sibling routing and behavioral caveats such as permissions remain thin.

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%: the sole required parameter object_name has no schema description. The description partially compensates by saying 'one object' and giving example object names, but it does not specify naming format, case sensitivity, or valid value constraints.

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: reading cached object documentation, including properties, methods, examples, and source links for one object. It distinguishes object docs from sibling read_service/read_event/read_type tools implicitly via 'object' and the context line, but does not explicitly contrast 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?

It gives clear usage context: use for object method questions involving Entity, Player, Leaderboard, Team, Knockback, and other objects. It lacks explicit when-not guidance or named alternatives for services, events, or types, so it falls short of a 5.

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

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

No annotations are provided, so the description carries the burden. 'Read' plus the named return content establishes it as a non-mutating fetch, which is useful, but it says nothing about permissions, failure modes when the project is absent, or freshness of the draft/file lists.

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

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

Two short sentences, front-loaded with the action and return payload, then the usage context. No filler or repetition.

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 exists, so the description needn't detail return values, and the one-parameter read surface is modest. The remaining gap is resolving the 'default' project_name and behavior when the project does not exist.

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% for the single project_name parameter, and the description only implies it via 'a repo-managed project.' It does not explain what the default value 'default' resolves to or how a repo-managed project name is formed.

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 (read) and resource (repo-managed project) plus the two things returned: prompt and sync/draft file lists. The 'repo-managed' qualifier distinguishes it from the directory-project siblings, though it never names them explicitly.

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

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

Explicitly says when to use it: 'before editing or syncing a repo project to understand current project intent and files.' That is a clear context trigger, but there are no stated exclusions or named alternatives (e.g. read_directory_project).

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 discloses the key limitation that the endpoint cannot retrieve the Host Panel Console, which is important context, but does not cover permissions, side effects, or what happens when error_text is empty.

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

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

Two sentences with no filler: the first states the purpose and the second provides context and an alternative. The description is front-loaded and appropriately sized.

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 exists, so return values need not be explained. The description covers the central limitation and alternative tool, but leaves some gaps around empty error_text behavior and whether any authentication or side-effect considerations apply. For a simple optional-parameter tool, this is mostly 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?

There is one optional parameter with 0% schema description coverage. The description identifies it as pasted error text for analysis, adding meaning beyond the bare schema, but does not explain default-empty behavior, format expectations, or requiredness.

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 specific actions: report console-access availability and analyze user-supplied console text. The context clarifies the current Code Sync endpoint cannot retrieve the Host Panel Console, distinguishing it from create_event_trace, but the name read_runtime_console still implies retrieval and the description does not differentiate from all other siblings.

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

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

Gives a clear usage path: pass pasted error text for analysis or use create_event_trace for manual tracing. This names an alternative and the condition that selects it, though it does not state explicit when-not rules beyond the missing console retrieval.

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 disclosure burden. 'Read' implies a non-destructive operation and the context clarifies the repo-local scope, but it does not describe error behavior, file-not-found handling, or access constraints. The existing output schema reduces the need to explain return values.

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 the core operation front-loaded. Every sentence earns its place: the first states what it reads and from where, and the second states when to use it.

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 read tool with an existing output schema, the description is nearly complete: it states the resource location and the primary usage scenario. The only meaningful gap is file-name format expectations, which are left to inference.

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

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

Schema description coverage is 0%, so the description must compensate for the single file_name parameter. It does clarify that the file is a Lua script located in the MCP repo's scripts/ folder, which adds meaning beyond the schema, but it omits details such as whether the .lua extension is required or whether subpaths are allowed.

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 gives a specific verb (read), resource (Lua script), and location (MCP repo's scripts/ folder). It distinguishes the tool from broad read tools by scoping to repo-local scripts, though it does not explicitly name or contrast with similar siblings such as read_directory_script.

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 context sentence clearly states when to use the tool: to inspect repo-local scripts before editing, validating, or syncing. It provides actionable context but does not state exclusions or explicitly name alternative tools for other script locations.

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 usefully discloses that the content is *cached* (implying possible staleness and read-only access), but says nothing about permissions, cache invalidation, or freshness guarantees.

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

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

Two short sentences, front-loaded with the resource scope and followed by usage context. No filler, though the bare 'Context:' label is slightly mechanical.

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

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

For a single-parameter read tool with an output schema present, the description covers what is returned and roughly when to use it. The remaining gap is the undocumented parameter semantics, which is minor given the illustrative examples.

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% for the single required service_name parameter. The description partially compensates by naming four valid service identifiers, which conveys the expected naming convention, but it does not document format rules, case sensitivity, or what happens with an unknown service.

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 (read) and enumerates the resource contents (cached functions, notes, source links, examples) scoped to 'one service'. This is clearly distinct from the sibling read_object/read_type/read_event tools in substance, though the description never explicitly contrasts itself with them.

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

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

The 'Context' sentence gives concrete example services (InventoryService, TeamService, ChatService, UIService) that imply when to reach for this tool, but there is no explicit when-not guidance and no named alternative among the many read_* 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?

No annotations are supplied, so the description carries the full behavioral burden. It discloses only that the read is 'complete' (full enumeration) and limited to documented types; it says nothing about invalid type_name handling, case sensitivity, response size, or access requirements.

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 tight sentences, purpose front-loaded before the usage context. No filler, nothing that could be dropped without losing information.

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

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

With an output schema present, return values need not be explained, and the description covers purpose plus valid inputs. The remaining gap is failure behavior for an unrecognized type_name, which is minor for a single-parameter read 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?

Schema description coverage is 0% and the single type_name property is undocumented in the schema, so the description must compensate. It partially does by enumerating example type names, but leaves format, casing, and how 'similar value sets' are discovered unspecified.

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+resource: reads complete enum keys and runtime string values for one documented type. The sibling set contains many 'read_*' tools (read_object, read_event, read_service), and the description's focus on enum value sets distinguishes it functionally, though it never names a sibling directly.

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?

Explicit context sentence names the concrete type families to use it for (ItemType, ProjectileType, SoundType, AbilityType, AbilityInputType) and extends to 'similar value sets'. Clear when-to-use, but no when-not or prerequisite 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 carries the behavioral burden and discloses both content type and a key limitation: it returns algorithm steps, API references, limits, and pitfalls, but no community source code or copied data tables. It does not cover auth, rate limits, or response format, though the output schema likely handles return structure.

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

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

Two sentences, front-loaded with the return content and followed by practical usage context. There is no repetition or wasted phrasing.

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 exists, so return values need not be explained. The description covers purpose, usage context, and content limitations, but it leaves sibling differentiation and the 'topic' parameter semantics under-specified for a tool with a required parameter and no annotations.

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% for the single 'topic' parameter. The description supplies example domains that likely map to valid topics, but it never explicitly defines the parameter or states accepted values, so it only partially compensates for the schema gap.

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

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

The description states a specific verb and resource set: return original algorithm steps, official API references, limits, and pitfalls for complex mechanics. It is clear what the tool produces, but it does not distinguish itself from the sibling recommend_mechanic_apis, which appears closely related.

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

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

It gives explicit usage context: use before implementing aimbot/aim assist target selection, visibility sampling, KA/area damage, prefab placement, or world text. It does not name alternative tools or state when this tool should not be used instead of 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 carry the behavioral burden. It implies a read-only lookup/recommendation and the output schema covers the return shape, but it never states that it is non-mutating, whether the recommendation is authoritative, or how results are scoped. Useful context, but incomplete disclosure for a no-annotation 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?

Two tight sentences, no waste, with the core action front-loaded before the usage context. Every clause earns its place.

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

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

For a moderate-complexity recommendation tool with an output schema and a single required parameter, the description covers purpose and when to use it adequately. The main residual gap is the shape/semantics of the 'topic' input and the non-mutating guarantee.

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% for the single 'topic' parameter. The description's phrase 'a requested mechanic' implicitly tells the agent the topic is a mechanic name, which is genuinely helpful, but it does not explain expected granularity or format (free text, known mechanic id, etc.).

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 ('Map') and a specific resource set ('official services, events, objects, and types'), which distinguishes it from the sibling read_* tools that retrieve one item at a time. It is clear what the tool produces, though it never names an alternative tool directly.

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 'Use before implementing...' sentence gives concrete trigger conditions across many mechanic areas (persistence, abilities, input/UI, combat, etc.), which is strong contextual guidance. It lacks explicit when-not conditions or named alternatives, so it stops short of a 5.

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

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

No annotations are provided, so the description carries the full burden. It adds useful process context about assessing behavior in a private Host Panel Creative context and checking documented API support, but it does not disclose permissions, side effects, or whether the operation is read-only.

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 front-loaded with the tool's purpose and then follows with usage context. It is reasonably concise, though the second sentence is long and could be tighter.

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 exists, so return values need not be explained. The description covers the trigger condition, the kind of input expected, and the tool's intended workflow context, making it largely complete for this resolution 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?

There is one required parameter, prompt, with 0% schema description coverage. The description compensates partly by indicating that the prompt is a mechanic label and giving many examples, but it does not clarify the expected format or syntax.

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: recognize Creative mechanic labels and return a docs-backed authoring workflow. It is clear what the tool does, though it does not explicitly differentiate itself from sibling tools such as recommend_mechanic_apis.

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

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

It gives a clear trigger condition: call first for any ambiguous mechanic label, with an extensive list of examples and unfamiliar names. It does not state when not to use it or name explicit alternatives, so it falls short of a 5.

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

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

No annotations are provided, so the description carries the full burden. It discloses a meaningful behavioral trait: it reports both documented capabilities AND limitations (i.e., it can tell the agent what is not supported), which matters before making promises. However, it says nothing about output shape (covered by the output schema), freshness, or scope beyond that single framing.

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 tight sentences with the core action front-loaded and the usage guidance immediately following. Every clause earns its place, with no redundancy.

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

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

Given zero parameters and an output schema that documents the return values, the description does not need to explain output format. It covers what the tool does and when to call it, leaving only minor gaps around how the reported capabilities should be interpreted.

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 takes zero parameters, so there is no parameter semantics to clarify; the baseline for a no-argument tool is 4. The description appropriately focuses on purpose rather than 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?

States a specific verb (Report) and a well-defined resource (documented Creative API capabilities and Code Sync transport limitations). It is distinguishable from siblings like recommend_mechanic_apis or chat_capabilities, but it doesn't explicitly name or contrast against any alternative, 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 'Context:' line gives clear, actionable when-to-use guidance ('before promising camera, raycast, weapon metadata, console, remote-content, or live-test capabilities'). This is specific and concrete, but it names no alternative tools or explicit when-not-to-use conditions.

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 implies an informational/read-only tool ('explain', 'return patterns') and lists the kinds of output returned, but never states side effects, permission needs, or whether it mutates anything. An output schema exists, which lowers the bar for return-value detail, keeping this at an adequate 3.

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 tightly written sentences with zero filler, front-loading the primary action. The 'Context:' label is slightly awkward but does not waste space.

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 informational tool with an output schema, the description needn't cover return values. However, the unexplained 'topic' parameter and the absence of any note on read-only behavior leave gaps an agent would want filled.

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% – the single 'topic' parameter has no description and only a default of 'generic'. The description alludes to 'known risky cases' but never explains what topic values are accepted or how 'generic' differs, so it fails to compensate 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 intent: explain why pcall-style protected calls can't be recreated and produce defensive Lua patterns for risky cases. It's distinguishable from siblings like validate_script or explain_error. The phrasing is a bit abstract, but an agent can tell what it produces (patterns, not execution).

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

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

It gives an explicit trigger: 'Use when code would normally use pcall/xpcall,' and clarifies what the tool can substitute (nil/type/state checks, ok/value helpers). It doesn't name specific alternative siblings or state when NOT to use it, so it stops short of a 5.

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

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

With no annotations, the description carries the load and does disclose the key behavioral trait: exact-name matches return the complete record, and broader searches return full records only with include_records=true. It omits details like result ordering or cache staleness, but for a low-risk read this is solid.

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

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

Two sentences, front-loaded with the action, then usage context and parameter behavior. The opening clause 'with optional full matching records' is slightly redundant with the later include_records explanation, but overall nothing is wasted.

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

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

An output schema exists, so return-value explanation is not required. Purpose, usage trigger, and the non-obvious include_records switch are all covered; only limit semantics 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 description coverage is 0%, so the description must compensate. It explains include_records behavior relative to exact-match results, but says nothing about limit or the query string format, leaving two of three parameters undocumented anywhere.

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 ('Search the local API docs cache') and scopes the result behavior. No sibling does the same thing, so differentiation is implicit rather than stated, but the 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?

Explicitly tells the agent when to use it: 'Use before writing Lua when an API is uncertain.' That is a real, actionable trigger. It does not name alternative tools (e.g. recommend_mechanic_apis), so it stops 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?

No annotations are provided, so the description carries the full behavioral burden. It does convey that results come from a cache and are non-scripting reference material, but it says nothing about cache staleness, whether fandom_cache_status must be checked first, or result limits — all relevant for a cache-backed search.

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 tight sentences; the purpose is front-loaded and the usage/exclusion context follows. No filler, though it spends wording on scope adjectives rather than the undocumented parameters.

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 exists, so return-value explanation is rightly omitted, and purpose plus usage scope are covered. However, with zero parameter documentation and no behavioral notes about the cache, the definition is only minimally complete for a 3-param search 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?

Schema description coverage is 0% for all three parameters (query, limit, include_text), so the description must compensate — and it does not mention any of them. An agent gets no guidance on query syntax, what limit means, or what include_text returns.

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 (search) and resource (cached Roblox BedWars Fandom gameplay/wiki pages), and the scope qualifier 'cached' separates it from live-doc siblings. It stops short of explicitly distinguishing itself from read_fandom_page or search_docs, leaving the agent to infer search-vs-read semantics.

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 says when to use it ('non-scripting reference data such as kits, items, commands, updates, maps, blocks') and routes the scripting case away ('Official Lua APIs still come from docs.easy.gg tools'). It does not name the exact sibling (e.g. search_docs) that carries the scripting 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?

No annotations are provided, so the description carries the full behavioral burden. It discloses that it starts polling and auto-syncs on Lua file set changes, and gives a precondition, but omits details such as idempotency, whether it blocks, what happens on conflicts, or whether it modifies files.

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

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

Two short sentences with the core behavior front-loaded and a labeled context sentence that adds prerequisite and workflow information without waste.

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 no parameters and an output schema exists, so return values need not be described. The description supplies the key precondition and workflow context, though it could say more about side effects or interaction with sibling watch/sync 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?

The tool takes zero parameters, and the schema is fully described at 100% coverage. No additional parameter semantics are needed in the description, so the baseline of 4 applies.

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

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

States a specific verb and resource: 'Start polling the connected folder and auto-sync when the Lua file set changes.' The behavior is distinct from sibling tools like sync_connected and stop_sync_watch.

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 states the prerequisite: 'Use only after connect_sync.' It also provides workflow context, but does not name alternative tools or explain when not to use this in favor of siblings like sync_connected or force_sync_directory.

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 disclose the essential behavior: it stops polling without disconnecting and retains the token/folder in memory. It does not cover permissions, reversibility, or edge cases, but for a simple stop control this is meaningfully 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 short sentences, front-loaded with the core action and followed by a concise usage context. No wasted words.

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

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

Given a zero-parameter control tool with an output schema, the description covers purpose, state effect, and when to use it. It could explicitly reference sibling tools like start_sync_watch or disconnect_sync for stronger routing, but it is largely 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, so there are no parameter semantics to document. Per the baseline for 0-param tools, a 4 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 and resource: stopping auto-sync polling. It also clarifies the key side effect (keeping the connected token/folder in memory), which distinguishes it from related operations like disconnect_sync without naming 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?

It gives a clear condition for use: when manual syncs are preferred but the token and directory should remain connected. It does not explicitly name alternative tools or state when not to use it, but the intended context is unambiguous.

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

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

No annotations exist, so the description carries the full burden and does so richly: it states the active-connection prerequisite, that it reuses in-memory token/directory/glob, that it includes deletions, the empty-.lua clearing behavior that overrides allow_empty, and the failure mode when no connection exists.

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?

Well-structured with Inputs/Requires/Effects/Returns/Context sections and front-loaded purpose. Some sentences are dense and slightly redundant (deletion behavior restated in the Context paragraph), keeping it short of a 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?

An output schema exists, so return-value explanation need not be exhaustive, and the description still summarizes 'upload status, file details, and connection status'. Prerequisites, side effects, and edge cases are all covered for a zero-param 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?

Zero parameters, so the baseline is 4. The description explicitly confirms 'Inputs: none', which is helpful but adds no detail beyond the empty 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?

States a specific verb+resource: 'Upload the current matching file set using the existing Code Sync connection.' It clearly delineates from siblings sync_directory, force_sync_directory, and connect_sync, which are named and contrasted.

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?

Gives explicit when-to-use ('immediate manual upload after editing an already-connected project'), inspection alternative (sync_status), and when-not ('To change token, folder, glob, or watch, call connect_sync or sync_directory instead'). Nothing is left 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 present, the description carries the full burden and does so: it discloses that matching Lua files are uploaded, exact legacy generated helpers are removed, the in-memory connection is replaced, and watch is applied on success. It also spells out the destructive edge case (allow_empty=true with no matches sends an in-memory deletion payload) and the probe side effect.

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?

Purpose is front-loaded and the Inputs/Effects/Returns/Context layout is easy to scan, but the prose is dense and occasionally repetitive for a tool whose schema already supplies defaults. Every clause is at least informative, so it is efficient rather than wasteful, though a touch longer than necessary.

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 7-parameter mutation tool with no annotations, the description is complete: it covers inputs, side effects (including deletions), retention semantics, and even summarizes the return payload despite an output schema existing. Nothing an agent needs to call it safely 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 0%, so the description must compensate, and it does: every one of the 7 parameters is given type, required/optional status, default, and meaning (e.g. glob_pattern defaulting to syncGlob or scripts/**/*.lua; allow_empty controlling remote-script clearing; watch controlling auto-upload). This goes well beyond the bare titles and defaults in 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 first sentence states a specific verb and resource with scope: 'Upload a specified directory now and retain it as the active Code Sync connection.' It also explicitly differentiates from the nearest sibling, noting it 'shares connect_sync's upload/session behavior; connect_sync additionally permits reusing the previous directory.'

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 selection criteria ('Choose when token and directory are explicitly available'), names the alternative (connect_sync), states when-not ('For a single manual upload without auto-sync, set watch=false'), and adds workflow guidance ('Preview and validate before uploading; probe=true is for an explicitly requested visible test').

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 a useful behavioral trait beyond the name: the returned state is surfaced 'without exposing the token,' and it enumerates what state is reported. It stops short of stating read-only guarantees, idempotency, or side effects beyond the implicit 'Return' verb.

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

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

Two sentences, zero waste. The return payload is front-loaded in the first sentence and the usage context follows in the second, which is the right ordering for a status check.

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 exists, so return-value detail need not be in the description, and there are no parameters to explain. For a zero-arg read tool, the combination of scope, safety note, and usage trigger is 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 takes no parameters, so there is nothing for the schema to document and nothing for the description to compensate for. Baseline 4 applies.

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

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

States a specific verb (Return) and precisely enumerates the resource details returned: connected folder, glob, watcher state, and last sync result. This distinguishes it cleanly from sibling status tools like fandom_cache_status and runtime_capabilities, which cover different state.

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 states when to use it: 'to confirm whether the MCP is connected before editing, deleting, or syncing scripts.' This gives clear triggering context. It does not, however, name alternative status tools or any when-not-to-use condition.

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 nothing about whether validation is side-effect free, what the default-true 'sync' flag actually does, or whether validation can write/sync anything — a material omission for a tool that may mutate state.

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 tight sentences, front-loaded with the scope and followed by usage context; every clause earns its place with no filler.

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

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

An output schema exists, so return values need not be described, but the undefined 'sync' parameter and the lack of differentiation from validate_directory_script leave real gaps for an agent deciding how to call this 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% for both parameters. The description hints at a directory target but never defines the 'directory' argument's expected form, and it completely omits the 'sync' parameter, which defaults to true and therefore has real behavioral consequences.

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 (validate) and resource (every Lua script in an outside project's scripts/ or drafts/ folder), with clear project-wide scope that separates it from the single-target validate_script. It does not explicitly distinguish itself from the similarly named validate_directory_script sibling, so sibling differentiation is incomplete.

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?

"Use for project-wide pre-sync checks and to find all files with errors, warnings, community-only APIs, or undocumented calls" gives concrete when-to-use context and the reporting scope. No when-not-to-use condition or named alternative (e.g. validate_script vs validate_directory_script) is offered.

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 usefully enumerates what is checked (services, methods, enums, callback fields, mutability, syntax). But it never says what a failure returns, whether validation throws or reports, or whether the default sync=true parameter triggers an actual sync side effect on a supposedly read-only validation call.

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

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

Two short sentences, purpose front-loaded, no wasted text. The phrase 'inside an outside project folder' is slightly awkward and could confuse the scoping, costing a point.

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 exists, so return-value detail is not required, and the check-list gives good coverage of validation scope. The unresolved ambiguity around the 'sync' parameter's side effects leaves a meaningful gap for an agent deciding whether to call it.

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

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

Schema description coverage is 0% and the description explains none of the three parameters. 'directory' and 'file_name' are self-evident from their names, but 'sync' (default true) is genuinely ambiguous and the description gives no hint about its meaning or effect.

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+resource (validate a Lua script) and scopes it to a directory project folder, which separates it from the plain validate_script sibling. It does not explicitly name how it differs from validate_directory_project, but the purpose is clear.

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

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

'Use before syncing user project scripts' gives a concrete when-to-use condition tied to the sync workflow. There is no explicit when-not or named alternative among the many validate_* siblings, so it stops short of a 5.

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

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

With no annotations, the description carries the full burden. It usefully discloses that the check is static, does not execute Lua, and is evaluated against docs_cache, which signals a safe read-only operation. It does not state whether anything is written, how failures are reported, or the auth/scope requirements.

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

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

Two sentences plus a labeled context note, all front-loaded with the core action first and the usage trigger second. No filler or redundancy; 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?

An output schema exists, so return values need not be described. However, with zero annotation coverage and an undocumented parameter, the definition should say more about the file_name semantics and operation guarantees (e.g., non-mutating, no execution cost) to be fully sufficient for an agent.

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?

Only one parameter (file_name) at 0% schema description coverage, so the schema adds nothing. The description implies a repo-local script path but never clarifies path form, relative-vs-absolute, or what happens if the file is absent, so it only marginally compensates for the coverage gap.

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

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

States a specific verb ('statically check') and resource (repo-local Lua script) and enumerates the checked categories: APIs, event fields, object methods, enums, syntax, logical mistakes. It differentiates somewhat from siblings like validate_directory_script, but never names or contrasts with them explicitly.

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

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

The 'Context' line gives a clear trigger: 'Use before syncing generated repo-local code.' That is actionable timing guidance, but it offers no when-not conditions and does not distinguish this from validate_directory_script or validate_directory_project, leaving sibling selection to inference.

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