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

No annotations are provided, so the description carries the burden of behavioral disclosure. It communicates that the tool analyzes impact and acts as a safety guard, implying read-only analysis, but it does not explicitly state that it never modifies code, nor does it describe any side effects or limitations.

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

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

The description is a single sentence that front-loads the core purpose and output dimensions, then adds the usage context and safety guard framing. Every phrase 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?

For a one-parameter analysis tool with no output schema, the description covers the key output categories: blast radius, affected callers, risk rating, and recommendations. It does not describe the exact return format or risk rating scale, but the core purpose and usage are sufficiently complete for an agent to invoke it correctly.

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

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

Schema description coverage is 100%, so the parameter is already fully documented. The description adds contextual color about affected callers and risk, but no additional semantic detail about the target parameter beyond what the schema provides. Baseline 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 tool's verb ('analyzes'), resource ('downstream blast radius, affected caller components, risk rating, and architectural decoupling recommendations'), and its role as an AI change safety guard. This distinguishes it from siblings like wincode_find_references and wincode_plan_refactoring, despite the similar name.

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

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

The description provides clear context: it should be used 'before modifying code.' It does not explicitly name alternatives or state when not to use it, but the purpose is specific enough for an agent to infer the right invocation context.

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

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

With no annotations provided, the description carries the burden of disclosing behavior. It indicates the tool analyzes rather than modifies and names the analysis dimensions, but it does not explicitly state whether it is read-only, what output shape to expect, or any permission/performance considerations.

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

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

The description is two sentences with no filler. The alias relationship is front-loaded and the functional behavior is stated immediately, making it easy to parse.

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 analysis tool, the description gives the core purpose and context, but because there is no output schema, it should more explicitly describe what the returned analysis contains or how risk rating is represented. This leaves a meaningful gap for an agent deciding how to use the result.

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% and the schema already defines target as the class, method, or component to evaluate. The tool description adds no new parameter-level meaning, so the baseline 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?

Description uses a specific verb ('analyzes') and resource ('change impact') and enumerates concrete outputs: blast radius, affected callers, and risk rating. This clearly separates it from sibling tools such as wincode_find_references or wincode_plan_refactoring, and the alias note explains its relation to analyze_change_impact.

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 'before modifying code' gives an explicit temporal use case. It does not explicitly list when-not-to-use or direct the agent to an alternative beyond the alias equivalence, but the context is clear enough for selecting this analysis 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?

With no annotations provided, the description carries the burden of behavioral disclosure. It explicitly says the tool does not dump raw files and instead 'detects' high-level structures, which conveys that it is a read-only, summarizing analysis. It could add more about output shape or limits, but the non-dumping behavior and detection focus are genuinely 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 tightly written two-sentence definition with no filler. Every sentence earns its place: the first states the high-level purpose and the second lists concrete detections while adding the important boundary of not dumping raw files.

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

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

For a simple tool with one optional parameter and no output schema, the description is largely complete: it tells the agent what kind of results to expect and what content is deliberately excluded. It does not need to document return values in detail, though slightly more context about maximum depth or output granularity would make it fully self-sufficient.

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

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

The schema already provides 100% coverage for the single parameter maxDepth with a clear description including its default. The tool description adds no additional meaning about how depth affects the analysis, but since the schema fully documents the parameter, 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 that the tool performs high-level workspace and architecture analysis and specifies concrete outputs: project types, .NET solutions, architecture layers, and key entry points. This distinguishes it from sibling tools that look up symbols, references, or change impact rather than giving a workspace-level overview.

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 'High-level workspace and architecture analysis' implies this tool is for an architectural overview rather than deep code investigation, and 'without dumping raw files' suggests when it should not be used. However, there is no explicit guidance about choosing this over sibling tools like wincode_diagnose_project or wincode_plan_refactoring, so the routing 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, the description must carry the behavioral disclosure burden. 'Diagnoses' implies a read-only analysis, but the description does not state whether the tool modifies anything, what environment checks it performs, whether it requires prerequisites, or what output it produces.

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 starts with the main action and immediately lists the key diagnostic targets. Every word adds meaning and there is no redundant 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 is minimally viable for a zero-argument tool: it names the diagnostic scope, but it lacks any indication of return values, output shape, or which sibling scenarios it is meant for. Since no output schema exists, more detail about what the agent should expect would improve completeness.

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

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

The tool has zero parameters, so there is no parameter schema to clarify. The baseline of 4 applies because there is no param information the description needs to compensate for.

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 ('Diagnoses') and identifies concrete resources: project health, Windows/.NET SDK readiness, solution files, and development prerequisites. It is clear about what the tool inspects, though it does not explicitly differentiate itself from sibling tools like wincode_analyze_workspace.

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

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

The description gives no guidance on when to use this tool versus alternatives. Sibling tools such as wincode_analyze_workspace and wincode_prepare_context could plausibly overlap in purpose, but no conditions or exclusions are provided.

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

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

With no annotations, the description carries the behavioral disclosure burden. 'Locates' implies a non-mutating read operation, and the description notes it searches across the workspace and returns signatures and line numbers. However, it does not disclose behavior on no matches, indexing limitations, or whether any workspace state changes occur.

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

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

The description is a single front-loaded sentence with the primary verb and object at the start. The parenthetical 'powered by Serena code intelligence' adds vendor context but is not essential to tool invocation, so it is not perfectly taut.

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, two documented parameters, and no output schema, the description is reasonably complete for a simple symbol lookup. It names the resource, scope, symbol types, and result highlights, though it could be more complete by describing the expected output structure or handling of ambiguous queries.

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

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

The input schema fully documents both query and kind, so the description adds little parameter-level information. The listed symbol types map loosely to the kind filter, but the description does not clarify query syntax, matching behavior, or how kind interacts with query beyond what the schema already states.

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

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

The description clearly states a specific action ('Locates'), a specific resource ('code symbols'), and enumerates the types covered (classes, interfaces, methods, functions). It also specifies the key outputs (signatures and line numbers), which distinguishes it from reference-finding and analysis tools.

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

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

Usage context is implied: an agent would use this when looking for symbol definitions with signatures and line numbers. However, the description does not explicitly state when to prefer this over siblings such as wincode_find_references or wincode_analyze_workspace, nor does it mention exclusions or alternative 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?

No annotations are provided, so the description carries the full behavioral disclosure burden. The verb 'Finds' clearly indicates a non-mutating, read-only operation, and the scope 'across the repository' sets expectations about breadth. It does not go into detail about performance or output shape, but the core behavior is transparent.

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

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

The description is a single, well-structured sentence that states the action, the object, and the scope without any filler. It is front-loaded with the primary verb and resource, making it easy for an agent to parse quickly.

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

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

For a tool with one parameter and a simple query-like purpose, the description is largely complete. It would be improved by noting what the returned references look like (e.g., file paths with line numbers), but the lack of an output schema is mitigated by the clarity of the described behavior.

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%, and the only parameter, symbolName, is already described as the 'Exact name of the symbol to trace.' The description adds very little beyond saying 'a specified symbol,' so by the baseline rule this is a 3—the schema carries the meaning.

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

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

The description uses a specific verb ('Finds') and a specific resource ('all call sites and usages of a specified symbol across the repository'). It clearly indicates the tool's function and distinguishes it from sibling tools like wincode_find_code_symbol by emphasizing call sites and usages rather than symbol definitions or broader analysis.

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 case is implied by the description: an agent would use this when it needs to trace where a symbol is referenced. However, there is no explicit guidance about when to use this tool versus siblings such as wincode_find_code_symbol or analyze_change_impact, and no exclusions or alternative routing are stated.

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

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

With no annotations, the description must carry behavioral disclosure. 'Heartbeat verification' and 'confirms online' suggest a read-only probe with no side effects, but the description does not explicitly state that it performs no mutations, what it returns, or how it signals failure. Some inference is 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?

Two short sentences with no filler; the core purpose is front-loaded and the audience is clarified in the same breath. Every sentence earns its place.

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

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

For a trivial one-optional-parameter tool, the description is nearly complete: it names the purpose, the checked resource, and the parameter behavior via the schema. It could be slightly more explicit about the response format or offline behavior, but nothing essential is missing for invoking 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 100% and the greeting parameter already has a description ('Optional custom greeting message to echo back'). The tool description adds no additional parameter semantics beyond what the input schema provides, so the baseline of 3 is appropriate.

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

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

The description identifies a clear purpose with a specific verb and resource: 'Minimal connectivity and heartbeat verification tool' that 'Confirms WinCode Gateway is online.' This distinguishes it from the sibling analysis and workspace tools, whose purposes are entirely different.

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 implies usage as a lightweight connectivity/health check before deeper work, but it never states when to prefer it over siblings or when not to use it. There are no explicit alternatives or exclusion conditions, so the 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.

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

Annotations are absent, so the description carries the full burden. It does suggest a planning/advisory nature by saying it 'Provides... guidance, step-by-step breakdown, and safety boundaries,' which implies non-mutating behavior. However, it never explicitly states that no code is modified, what permissions are required, or how the guidance is delivered.

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

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

The description is a single sentence with no filler, front-loading the core purpose and listing three specific outputs. Every word contributes to understanding the tool's function.

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

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

For a low-complexity tool with only two required parameters and no output schema, the description conveys the overall purpose and expected output categories. However, it doesn't define what 'safety boundaries' mean, how the refactoring plan is returned, or when this tool is preferable to sibling analysis tools, 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?

Schema description coverage is 100%, so target and goal are already documented in the input schema. The description adds no additional meaning about parameter formats, relationships, or constraints, making the baseline 3 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 names the resource (refactoring guidance) and scope ('for a component') and lists three concrete deliverables: structured guidance, step-by-step breakdown, and safety boundaries. The verb 'Provides' is generic, and it does not explicitly distinguish from siblings like analyze_change_impact, but the purpose is still understandable.

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

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

No guidance is given on when to choose this tool over alternatives such as wincode_analyze_change_impact or wincode_diagnose_project. There are no prerequisites, no excluded cases, and no conditional selection criteria; the only hint is 'for a component,' which leaves usage context largely implicit.

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 of explaining behavior. It does disclose the process: Repomix-based packing and semantic distillation, and what is extracted: 'relevant symbols, architectures, and essential files.' However, it does not state whether the tool writes files to disk, returns the snapshot inline, requires external dependencies, or has side effects.

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

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

The description is two sentences and front-loads the primary purpose before explaining the method. It is reasonably concise, though phrases like 'high-semantic' and 'semantic distillation' are somewhat jargon-heavy. No unnecessary filler is present.

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?

All parameters are documented and the core purpose is clear, but there is no output schema and the description does not describe what the agent will actually receive or where the packed snapshot goes. Given the tool is meant to prepare context, return format and side effects are relevant missing pieces. Still, the description is adequate for a basic first selection.

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

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

Schema description coverage is 100%, so the baseline is 3. The description does not add parameter-specific detail beyond what the schema already provides; it only loosely maps to task and candidateFiles. It does not clarify how compress, focusAreas, or outputFormat affect the resulting snapshot beyond their schema descriptions.

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

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

The description states a specific verb and resource: it 'Prepares' a 'context snapshot' for an agent task, using Repomix and semantic distillation. This makes it distinguishable from siblings like wincode_analyze_workspace and wincode_diagnose_project, which are more analytical. However, it does not explicitly call out any sibling to differentiate itself from.

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

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

The description implies when to use the tool: when an agent needs a 'decision-ready context snapshot' before working on a task. There is no explicit guidance on when not to use it or how it compares to alternatives like wincode_find_code_symbol or wincode_plan_refactoring. The usage context is clear but not fully 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?

With no annotations provided, the description must carry the behavioral disclosure burden. It does so by stating that the tool moves the file rather than permanently deleting it, writes metadata, and targets the project trash/ directory. It does not cover edge-case behaviors like missing files or permissions, but the essential non-destructive behavior is explicit.

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

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

The description is a single, well-structured sentence with the primary action and destination front-loaded. Every phrase contributes meaning: 'safely', 'obsolete or deleted file', 'project trash/ directory', 'with metadata', and 'instead of permanent deletion'. There is no redundant or filler content.

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

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

For a relatively simple tool with full schema coverage and no output schema, the description is largely complete: it identifies the target file type, the destination, the metadata behavior, and the safety rationale. It omits minor contextual details such as whether the trash directory is auto-created or what exact metadata is stored, but these are not severe gaps for correct invocation.

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

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

Schema description coverage is 100%, so the parameter meanings are already fully documented. The description adds the context that metadata is associated with the move, but it does not explicitly map the optional 'reason' parameter to that metadata. This meets the baseline but does not add significant semantic value beyond the schema.

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

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

The description clearly states the action: safely moving an obsolete or deleted file into the project trash/ directory. It also conveys the key distinction from permanent deletion, which separates it from any destructive alternative. None of the sibling tools appear to handle deletion or file moving, so this description makes the tool's purpose immediately identifiable.

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

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

The description gives a clear usage context: use this tool when a file is obsolete or should be removed, but permanent deletion is undesirable. It does not explicitly enumerate alternatives or conditions when not to use it, but the 'instead of permanent deletion' phrasing provides strong practical 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 must carry the burden of explaining side effects. The output list strongly implies a read-only analysis operation, but the tool does not explicitly state that it leaves the workspace unmodified or what 'opens' means in behavioral terms. It partially covers transparency but not fully.

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

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

The description is two sentences with the main action front-loaded and the analysis outputs compactly listed. Every sentence earns its place and there is no unnecessary detail.

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

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

With only one parameter and no annotations, the description is reasonably complete and does list expected output categories. However, there is no output schema and the description does not clarify how results are returned, nor does it address the obvious overlap with wincode_analyze_workspace. It is usable but not fully complete.

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

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

The schema already provides a clear and complete description for the single required parameter, and schema description coverage is 100%. The tool description mostly restates that the path points to a project workspace directory without adding meaningful new parameter 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?

The description uses a specific action ('opens and analyzes') plus a resource ('project workspace directory') and lists concrete analysis outputs. It is clear about what the tool does, but it does not differentiate itself from the sibling wincode_analyze_workspace, which appears to cover a nearly identical capability.

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 only implies a general use case of analyzing a workspace; it gives no explicit when-to-use guidance or exclusions. Given the sibling list includes wincode_analyze_workspace and several other analysis-related tools, the lack of alternative routing is a meaningful gap.

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