daily_reflection
Returns today's public Stoic quote, the month's theme, and dayStoic.com's published commentary and two-minute action when those are available. Optional language. No account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language | No |
Returns today's public Stoic quote, the month's theme, and dayStoic.com's published commentary and two-minute action when those are available. Optional language. No account.
| Name | Required | Description | Default |
|---|---|---|---|
| language | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral burden. It usefully discloses that the content is public, that some content is only returned "when those are available," that language is optional, and that no account is required, but it omits whether the operation is strictly read-only, how unavailable commentary is represented, and what the caller gets back.
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 short and front-loaded with the returned content before the optional parameter and account note. It is efficient, though the final fragment "No account" is slightly clipped and the sentence could better integrate the parameter caveat.
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 read-style tool with one optional enum parameter and no output schema, the description covers the core content and account expectation. However, because there are no annotations or output schema, it should more fully explain language defaults, conditional availability, and return behavior to be 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 has one optional `language` parameter with an enum, but schema description coverage is 0%. The description only says "Optional language" and does not name supported languages, state the default language, or explain fallback behavior when a language is unsupported, so it adds very little 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 uses a specific verb ("Returns") and names the exact content: today's public Stoic quote, the month's theme, and published commentary plus a two-minute action. It is clear what the tool does, but it does not explicitly distinguish itself from the sibling tool `today_quote`, so it falls short of full sibling differentiation.
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 explicit guidance on when to use this tool versus alternatives such as `today_quote` or `stoic_exercise`. The phrase "No account" gives useful context, but it is not usage guidance and there are no exclusions or named alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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