update_and_forecast

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

With no annotations, the description carries the full burden. It discloses key behaviors: it overwrites fuf_path by default via output_fuf_path, writes to output_html, and reports tracking errors. It does not mention authentication or rate limits, but the destructive default (overwriting) is clearly stated, adding valuable context beyond the schema.

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 well-structured: a one-line summary, a process explanation, and a parameter list. Every sentence provides useful information, with no fluff. The parameter section is compact yet informative. It is appropriately sized for the tool's complexity.

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 involves updating files and generating reports, and the description covers the workflow, parameter defaults, and output paths. No output schema exists, but the description explains the produced artifacts and behavior. It is complete enough for an agent to invoke correctly without additional context.

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%, so the description fully compensates by explaining each parameter: fuf_path ('existing fuf .inp file'), new_values ('list of new observations in original scale'), output_html (required), output_fuf_path ('default: overwrites fuf_path'), and actual_dates ('MM/YYYY' format). This is precisely the semantics missing from the input 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 clearly states the tool's function: 'Append new observations to a fuf file and update the forecast.' It also details the process (loads fuf, appends values, re-runs forecast, reports tracking errors, writes HTML). This distinguishes it from siblings like generate_forecast, which creates new forecasts.

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 usage context: it is for updating an existing fuf file with new observations, and fuf_path is described as 'from generate_forecast'. However, it does not explicitly state when not to use it or name alternative tools for similar scenarios. The context is clear enough for an agent to decide.

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