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 the analysis backend (official Zig compiler), which is a useful hint, but says nothing about whether code is executed, whether analysis is read-only, whether it can be slow, or what permissions/network access it needs. For a tool that runs untrusted source through a compiler, the safety profile is conspicuously absent.

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

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

A single front-loaded sentence with no filler; the purpose and scope are stated immediately and 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?

There is no output schema, so the description should ideally sketch the shape of the result (diagnostics list, severity, line numbers) and confirm whether code is executed. It covers the input side adequately but leaves the return contract and safety posture 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 100% with only two parameters, so the schema already documents both code and the zig_version enum including its default. The description adds no format or behavioral detail beyond that, which matches the baseline 3 for schema-covered parameters.

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

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

The description names a specific verb (Analyze), resource (Zig code), the classes of issues detected (syntax errors, type mismatches, semantic issues), and the mechanism (official Zig compiler). That is stronger than a bare restatement. However, it does not distinguish itself from the sibling compile_zig, which an agent could easily confuse with an analysis tool.

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

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

There is no statement of when to use this tool rather than compile_zig or suggest_fix, no prerequisites, and no exclusions. The agent must infer the routing decision entirely from the tool names.

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 it discloses almost nothing: no statement that formatting preserves semantics (unlike the name's 'compile' implication), no idempotency, no error behavior for invalid Zig, no output format. It does at least clarify the operation is formatting rather than compiling, which is the one behavioral correction present.

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

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

A single short sentence with zero filler, front-loading the action and the resource. It is efficient, though its brevity shades into under-specification rather than pure concision.

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, fully documented schema with no output schema, the description is minimally viable: it identifies the operation and the formatter used. It leaves the compile-vs-format naming ambiguity unresolved and says nothing about what the tool returns or how errors surface.

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 both 'code' and the enumerated 'zig_version' (with its default) are already fully documented in the schema. The description adds no syntax, size-limit, or version-selection guidance beyond that, 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?

States a specific verb and resource ('Format Zig code') plus the mechanism ('official Zig formatter'), which distinguishes it from analyze_zig, get_zig_docs, and suggest_fix, none of which format. The only friction is that the tool name 'compile_zig' implies compilation while the description says formatting, which could momentarily confuse an agent matching name to behavior.

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

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

There is no when-to-use guidance, no exclusions, and no routing to alternatives such as suggest_fix when code needs semantic changes rather than reformatting. Usage is only inferable from the purpose statement itself.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not say whether docs are bundled locally or fetched remotely, what happens for an unknown or ambiguous topic, or what the response shape looks like — meaningful gaps for a retrieval 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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity leaves substance for other dimensions to penalize.

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 (one required parameter, no output schema), so the bar is low, but the description still omits return format, topic matching behavior, and error handling for invalid topics. Adequate but with clear 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% and the schema already supplies the parameter description plus examples ('comptime', 'generics'). The description adds no syntax, matching behavior, or format detail beyond the schema, 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?

States a specific verb and resource ('Retrieve Zig documentation'), which is clearly distinct from the action-oriented siblings (compile_zig, analyze_zig, suggest_fix). However, it does not explicitly contrast itself with those siblings, so it falls short of a 5.

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

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

There is no guidance on when to use this tool versus the siblings, nor any exclusions or prerequisites. The agent must infer that this is a static documentation lookup rather than an analysis or compilation action.

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. 'Get ... suggestions' weakly implies a non-mutating read, but nothing states whether fixes are returned as text, as patches, or applied, and there is no mention of latency, rate limits, or side effects. For a tool with zero annotation coverage this is a meaningful 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?

A single short sentence with the resource and purpose front-loaded and zero filler. It is efficient, though its brevity contributes to the gaps noted elsewhere.

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

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

With no output schema and no annotations, the description should at least hint at what a suggestion looks like and whether it modifies anything. For a two-parameter tool the surface is small, but the agent is left guessing about the return value and 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 100%, with both parameters documented in the schema itself, so the baseline of 3 applies. The description adds no additional semantics about how 'error' and 'code' should relate or what format they take.

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

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

The description states a specific verb (suggest fixes) and resource (Zig code errors), so the agent knows this is a suggestion-generation tool rather than a compiler or analyzer. It does not explicitly distinguish itself from the closest sibling analyze_zig, which could plausibly also surface error information, so it stops short of a 5.

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

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

There is no when-to-use guidance, no ordering relative to compile_zig or analyze_zig, and no mention of prerequisites such as the code having already been compiled or an error actually existing. The agent must infer the workflow entirely.

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