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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond restating the echo behavior — no note on output format, size limits, or edge cases such as empty messages.

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 no filler, and the core behavior is front-loaded. It is efficient, though so terse that it carries little 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 one-parameter, trivially idempotent utility with a fully described schema and complete annotations, this is essentially enough to call it correctly. Only a hint about the intended testing purpose would improve 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 single 'message' parameter is documented as 'The message to echo back'. The description adds no syntax, length, or encoding guidance 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?

The description states a specific verb and resource: it echoes back the input message. That makes the tool's contract unambiguous and clearly distinct from the sibling tools (file_read, file_write, json_transform), though it spends no words explicitly differentiating itself from 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?

There is no statement of when to use this tool versus alternatives, no mention of the common use case (connectivity/round-trip testing), and no exclusions. Usage is only inferable from the one-line 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false. The description adds the allowed-filesystem-paths constraint, but does not mention return format, encoding behavior, error cases, or size limits. This adds some useful context but leaves behavioral 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?

A single front-loaded sentence with no wasted wording. The core action and scope are stated immediately.

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, the description is adequate to invoke it. However, with no output schema, it could clarify that the result is file contents, and it does not mention error behavior for missing or disallowed paths.

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

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

The schema has 100% description coverage for the only parameter, path, so the schema already documents it. The description adds no syntax, relative-vs-absolute path, or permission details beyond what the schema provides. Baseline 3 is appropriate.

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

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

States a specific verb and resource: 'Reads a file'. The 'allowed filesystem paths' scope is useful. It distinguishes reading from the sibling file_write, but does not explicitly differentiate from json_transform or echo.

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 is implied by the read operation and the allowed-path constraint, but the description gives no explicit when-to-use guidance, no when-not-to-use guidance, and no comparison with siblings such as file_write.

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 declare destructiveHint=true and idempotentHint=true, yet the description never says whether an existing file is truncated or overwritten, whether parent directories are created, or what happens on an out-of-scope path. For a destructive write, the overwrite semantics are the single most important behavioral fact and they are 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. It is efficient, though its brevity comes partly from omitting information an agent would need.

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 output schema and only two parameters, so the surface is small, but the description leaves open overwrite behavior, error conditions, and the return value. Adequate but with clear gaps for a destructive operation.

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 parameters ('path' and 'content') are already documented in the schema. The description adds no syntax, encoding, or path-format guidance beyond that, so 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 ('Writes content to a file') plus a scoping constraint ('allowed filesystem paths'). It does not explicitly distinguish itself from file_read or json_transform, but the write-versus-read distinction is unambiguous from the verb.

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 'allowed filesystem paths' clause hints at a precondition, but there is no statement of when to use this instead of alternatives, nor any exclusion such as 'not for appending' or 'use json_transform to modify JSON in place'. Usage 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, so the safety profile is covered. Beyond that the description adds almost nothing: the qualifier 'JQ-like' hints at a dialect subset but never says which JQ features are unsupported, what errors look like for malformed filters, or what the output shape is.

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. It is efficient, though its brevity is partly 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?

The tool is simple (2 required params, no nesting in practice), but with no output schema the description should say what is returned — the filtered result, its type, or error behavior. That gap means an agent cannot fully predict the response shape before calling.

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 both 'input' and 'filter' described, so the schema carries the parameter burden. 'JQ-like filter' marginally narrows expectations for the filter parameter, but the description supplies no syntax examples or dialect constraints 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?

States a specific verb ('Transforms') and resource ('JSON data') plus the mechanism ('JQ-like filter'), so an agent knows exactly what the tool does. It is trivially distinguishable from the file/echo siblings, though the description never explicitly contrasts them.

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

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

No guidance on when to use this versus alternatives (e.g., file_read for pulling JSON off disk, or echo for passthrough). No preconditions, no exclusions, no mention of what happens on invalid filters. The agent must infer applicability entirely from the one-line purpose.

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