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 add genuine operational context — the NOTIFICATION_METHOD env var, per-engine latency (~3-5s vs ~10-15s), and voice-cloning capability — but says nothing about failure behavior, permissions, or whether the call blocks until speech finishes.

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 purpose is correctly front-loaded, but the body is heavily padded: the punctuation/expressiveness section restates guidance already present in the message parameter's schema description, and stacks multiple redundant examples. Only the IPA syntax and TTS engine sections clearly earn their length.

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 4-parameter tool with no annotations and no output schema, the description covers configuration and message formatting but omits what happens on failure, whether delivery is synchronous, and any environment prerequisites beyond the engine choice. Adequate but with visible holes.

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%, so the voice, message, title, and reasoning parameters are already documented. The description's IPA notation syntax ('[word](/IPA phonemes/)') and symbol table are genuinely absent from the schema, but they only apply to the message payload rather than adding semantics for the parameters themselves, keeping this near the baseline.

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 two sentences give a specific verb and resource ('Sends a notification to the user') plus the triggering condition ('when you complete a task and want to alert the user'). It is clear what the tool does, but it never differentiates itself from the sibling report_issue, so an agent must infer the boundary.

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 this when you complete a task and want to alert the user' supplies an explicit trigger condition. There are no when-not conditions and no routing guidance relative to report_issue, so the guidance is clear but incomplete.

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 it discloses the key behavioral trait an agent needs: issues are 'saved locally' for the maintainer, i.e. this files persistent feedback rather than acting on the server. It doesn't cover side effects like storage location or whether reporting is irreversible, but the local-save behavior is the most important 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?

Two short sentences, purpose front-loaded, zero filler. Nothing to trim.

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 feedback-reporting tool with no annotations and no output schema, the description covers purpose and storage but omits return/confirmation behavior and how it differs from the 'notify' sibling. 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 each of the 9 parameters is documented in the schema, so the baseline is 3. The description adds no parameter-level detail beyond naming the issue categories, which the schema already covers via enums.

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?

Explicit verb+resource ('Report ... issue with the MCP server') and enumerates the issue types it accepts (bug, feature request, other). It doesn't reference the sibling tool 'notify', but the purpose is unambiguous on its own.

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 it (you have a bug or request for the MCP server), but offers no exclusions or routing relative to the sibling 'notify' tool. Implied usage only, no when-not guidance.

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