read_day_flow

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 usefully discloses the output shape (a Markdown journal grouped into chronological sessions), which is real behavioral context. However, it says nothing about permissions, pagination, or limits for what could be a large multi-app aggregate read.

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 sentences, zero filler, and the scoping/grouping behavior is front-loaded ahead of the parameter note. Nothing could be removed without losing 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?

An output schema exists, so return values need not be explained. Scope, grouping, and parameter format are covered, making the definition sufficient to call the tool. Minor gaps remain around access requirements and any size limits for an all-app aggregate.

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 0%, so the description must compensate, and it does by specifying the required format 'day is YYYY-MM-DD' — the single most important semantic for the one required parameter. It does not address timezone or invalid-date handling, keeping it just short of a 5.

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: reading a continuous daily Markdown journal, with the distinguishing scope 'across all apps, grouped into chronological sessions'. This implicitly sets it apart from read_app_day (single app) and day_sessions, but it never names a sibling, so differentiation is left to inference.

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 only implied: 'across all apps' signals this is the whole-day, cross-app view rather than a per-app one. There is no explicit when-to-use statement, no when-not-to-use, and no sibling named as the alternative, so the agent must infer the routing decision.

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