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

No annotations are provided, so the description must shoulder behavioral transparency. It does disclose that output is markdown-formatted documentation, which is useful. However, it does not disclose potential side effects, permission requirements, or behavior for edge cases like empty sheets or large sample counts. This is a moderate gap.

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

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

The description is very concise, using two short sentences. It is front-loaded with the action and includes only essential information. No fluff.

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

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

The description covers the main aspects: purpose, columns, sample data, and output format. Given the schema covers parameter details, this is fairly complete for a documentation tool. However, it could mention relationship to workspace documentation or clarify what 'purpose' means, but it doesn't leave major 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 100%, so the schema fully documents the three parameters. The description adds no additional parameter semantics beyond mentioning 'sample data' generically. Per baseline, score is 3.

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

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

The description clearly states the verb 'Generate documentation' with the resource 'sheet', and lists content (purpose, columns, sample data). It distinguishes from sibling tools like get_sheet_structure by explicitly mentioning markdown output and sample data, making it a documentation tool rather than a raw data accessor.

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

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

The description implies a use case (creating documentation) but does not provide explicit guidance on when to choose this over sibling tools like get_sheet_structure or get_sheet. There is no mention of alternatives or exclusions, so it falls short of explicit usage guidelines.

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 does not disclose whether the tool is read-only, what format the documentation takes, whether it triggers side effects, or what the return value looks like. 'Generate documentation' is vague about behavior.

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

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

The description is a single, front-loaded sentence that conveys the essential purpose without redundancy or filler. Every word earns its place.

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

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

The description covers the primary function and scope but lacks details about the output format or delivery method of the documentation. With no output schema, this is a notable gap, though the scope and parameters are clear.

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

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

Schema coverage is 100% with a clear parameter description ('The ID of the workspace to document'). The description adds no extra semantic meaning beyond the scope of 'entire workspace', so the baseline score of 3 applies.

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

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

The description clearly states the verb (generate), the resource (workspace), and the scope (including all sheets and their structures). This distinguishes it from sibling tools like generate_sheet_documentation, which covers only a single sheet.

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

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

No explicit guidance is given on when to use this tool versus alternatives. The scope implies it is for workspace-level documentation, but there is no mention of when not to use it or how it relates to generate_sheet_documentation or get_sheet_structure.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions pageSize for limiting rows but does not disclose pagination behavior for the 'page' parameter, the response format, or any performance or rate-limit considerations. The read-only nature is implied by 'Get' but not explicitly stated.

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, front-loaded with the main purpose and immediately useful guidance. No wasted words 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 tool is relatively simple with 3 parameters, but it has no output schema. The description should thus explain what the response contains. It mentions columns and rows but does not describe the response structure, page parameter behavior, or how 'full details' translates into an actual payload. Leaves some 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 100%, with all three parameters already described in the input schema. The description adds a minor usage hint for pageSize ('to limit rows returned') but does not add significant semantic value beyond what the schema already provides.

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

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

The description clearly states the tool's function: 'Get full details of a sheet including columns and rows.' It uses a specific verb (Get) and resource (sheet), and the mention of 'columns and rows' helps differentiate it from sibling tools like smartsheet_get_sheet_structure, which likely returns only the structure.

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

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

The description implies usage for retrieving full sheet data and provides a hint about pageSize for limiting rows, but it does not explicitly name alternatives or state when not to use this tool. There is no exclusionary guidance or comparison with sibling tools like smartsheet_list_sheets or smartsheet_get_sheet_structure.

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

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

With no annotations, the description carries the burden of explaining behavior. It does disclose that only column structure is returned and that row data is absent, which clarifies the read-only scope. However, it does not describe the exact return format or any other behavioral details, leaving a moderate gap.

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

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

The description is a single, front-loaded sentence with no redundant words. It efficiently conveys the essential scope and use case.

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

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

The tool is simple with one parameter and no output schema. The description clearly states the purpose and scope, and the sibling tools provide surrounding context. It could improve by briefly hinting at the response structure, but the current level is adequate for a lightweight metadata lookup.

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

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

The schema provides a complete description for the sole parameter sheetId ('The ID of the sheet'), so schema coverage is 100%. The tool description adds no additional meaning about this parameter. This aligns with the baseline of 3 when the schema carries the semantic weight.

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

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

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('sheet'), and narrows the scope to 'column structure' while explicitly excluding 'row data'. This distinguishes it well from sibling tools like smartsheet_get_sheet, which presumably returns row content.

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

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

The phrase 'no row data' implicitly guides users away from using this tool when row-level data is needed, implying an alternative (e.g., smartsheet_get_sheet). The explicit use case 'useful for understanding sheet schema' provides context for when to invoke this tool.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only states 'Get information' without specifying what information is returned, whether authentication is required, or any potential side effects. This is a minimal disclosure that leaves significant ambiguity.

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

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

The description is a single, clear sentence with no fluff or repetition. Every word adds value, and it is appropriately sized for a tool with no 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?

Given the tool's extreme simplicity (no parameters, no output schema), the description is mostly sufficient: it tells the agent what the tool does. However, without an output schema, it could have briefly mentioned what 'information' is returned (e.g., name, email), which would make it fully complete. Still, it is adequate for a basic getter.

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

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

The tool has zero parameters, so the schema is empty and there is nothing to explain. The baseline for zero parameters is 4, and the description does not need to add parameter details.

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

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

The description uses a specific verb 'Get' and identifies the exact resource: 'information about the current authenticated user.' This clearly distinguishes it from sibling tools that focus on workspaces or sheets, and it is unambiguous.

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

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

The description implies use when you need the authenticated user's details, but it provides no explicit guidance on when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. It is not misleading, but the usage context is only implied.

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

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

No annotations are provided, so the description carries the full burden. It discloses that the response includes all sheets and folders, which is useful, but it does not explicitly state read-only behavior, error handling, or any side effects. The verb 'Get' implies read-only, but it lacks thorough behavioral disclosure.

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

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

The description is one concise sentence, immediately states the action and resource, and includes the key detail about sheets and folders. 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?

For a simple get tool with one parameter and no output schema, the description is largely complete. It tells the user what they will get (workspace details including sheets and folders). The only minor gap is the lack of usage alternatives, but that is handled separately.

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

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

The schema covers the parameter fully with a description ('The ID of the workspace to retrieve'). The description adds no additional semantic value beyond what the schema already provides, so the baseline score of 3 is appropriate.

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

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

The description clearly states the tool gets details of a specific workspace and explicitly includes all sheets and folders within it, distinguishing it from sibling tools like smartsheet_list_workspaces (which lists all) and smartsheet_get_sheet (which targets a sheet).

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 usage is implied: you need a workspaceId to get details of a specific workspace, but there is no explicit guidance on when to use this versus listing workspaces or getting a sheet. It does not mention alternatives or exclusions.

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

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

There are no annotations, so the description carries the full burden. It discloses the scope ('across all workspaces' and 'have access to') but provides no information about pagination, return format, or potential performance implications. This is adequate for a simple read-only list but lacks richer behavioral detail.

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

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

The description is a single, front-loaded sentence with no wasted words. It immediately states the action and resource, making it highly readable and concise.

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

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

For a zero-parameter list tool, the description covers the essential aspects: what is listed and the scope. It does not specify the return value (e.g., sheet IDs, names), but the absence of an output schema and the simplicity of the tool make this acceptable. A small gap is the lack of mention of whether all accessible sheets are returned in one call or paginated.

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

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

The tool has zero parameters and the schema is fully descriptive (empty object). The description adds context about what is being listed and the scope, which is sufficient for parameter understanding. With 0 params, the baseline is 4, and the description does not need to add parameter-level 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?

The description clearly states the action ('List') and resource ('all Smartsheet sheets you have access to across all workspaces'). The 'across all workspaces' scope distinguishes it from sibling tools like smartsheet_list_workspaces and smartsheet_get_sheet.

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

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

The description gives clear context for when to use this tool (when you need a broad listing of all accessible sheets). However, it does not explicitly mention when not to use it or name alternatives such as smartsheet_search_sheets for filtered results, so it stops short of a full 5.

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

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

With no annotations provided, the description carries the transparency burden. It discloses the return content (workspace names, IDs, access levels) and implies a read-only list operation. It does not detail potential side effects, rate limits, or error behavior, but for a simple list tool with no parameters, this is reasonably 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?

The description is a single, concise sentence that front-loads the action and resource, then adds return-value details. Every word earns its place; it is appropriately sized and well-structured.

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

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

Given the tool's low complexity (no parameters, no output schema), the description is fairly complete: it states what the tool lists and what it returns. It lacks explicit mention of pagination or edge cases, but for a simple list-all operation, this is adequate. A 5 would require a bit more about response format or potential limitations.

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 are zero parameters, so the schema fully covers parameter semantics. The baseline for 0 parameters is 4, and the description adds nothing about parameters because none exist. No deduction is warranted.

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

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

The description clearly states the verb 'list' and the resource 'workspaces', and distinguishes this tool from siblings like smartsheet_get_workspace (single workspace) and smartsheet_list_sheets (sheets). It also specifies the scope ('all ... you have access to'), which adds precision.

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

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

The description provides clear context for when to use this tool: to enumerate all accessible workspaces. It does not explicitly name alternatives or exclusions, but the parenthetical 'you have access to' clarifies the intended use case. This falls short of a 5 because there is no explicit 'use get_workspace for a single workspace' 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 full responsibility for disclosing behavior. It mentions searching by name or content but does not clarify what 'content' means, whether the operation is read-only, or what the response format is. This is a significant gap for a search tool.

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

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

The description is a single sentence with no wasted words. It is front-loaded with the core purpose and is appropriately concise for a simple tool.

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

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

This is a simple tool with one parameter and no output schema, so complexity is low. However, the description lacks information about return values, search scope (e.g., does it search cell content or sheet metadata?), and any filtering behavior. Without annotations or an output schema, the description should provide more context to be fully complete.

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

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

The schema only describes 'query' as a search query string, but the description adds meaning by explaining it matches 'name or content'. This gives the agent a clearer understanding of what the query targets, going beyond the schema's minimal description.

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

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

The description clearly states the verb 'Search' and the resource 'sheets', with a specific scope ('by name or content'). This distinguishes it from siblings like smartsheet_list_sheets, which lists all sheets, and smartsheet_get_sheet, which fetches by ID.

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

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

The description implies this tool should be used when you have a search query, but it does not explicitly state when to prefer it over smartsheet_list_sheets or smartsheet_get_sheet. No exclusions or alternatives are mentioned, so guidance is only implicit.

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