get_analysis_journal

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

With no annotations, the description carries the full burden, and it delivers strong behavioral context: results are locally journaled, evaluations are 'monotonic latest,' and 'a completed evaluation is never displaced by a later stale ongoing read.' It also clarifies that the tool does not access or change the TradingView chart, which is valuable for an agent deciding whether to call it.

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 compact and well-structured: the primary purpose is stated first, followed by a key monotonicity guarantee and a useful exclusion. Every sentence adds meaningful information, and there is no redundant filler.

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 description gives a strong behavioral and purpose overview, which is good given there is no output schema and no annotations. However, it omits any guidance on the three optional parameters, which are the only way to scope the read. The agent can probably call the tool without parameters, but cannot confidently know how to use filters correctly.

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 0%, and the description adds no explanation of the three parameters: limit, symbol, and analysis_id. While the parameter names are somewhat self-explanatory, the description does not say how they filter the journaled analyses or what the limit applies to, so the agent has to infer this from the schema alone.

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 and resource: 'Read locally journaled analysis definitions and their monotonic latest evaluations.' It also differentiates itself from chart-related siblings by explicitly stating 'This tool does not access or change the TradingView chart.' This is sufficiently specific and clearly distinguishes the tool from nearby alternatives.

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 establishes a clear context: this is for reading local journaled analysis evaluations, not for chart interaction. It explicitly states what the tool does not do, which provides a when-not signal. However, it does not name specific alternative tools such as get_analysis_performance or get_analysis_calibration, so the routing guidance is implicit rather than explicit.

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