generate_profiles

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

With no annotations, the description carries the full burden, and it does disclose meaningful side effects: it writes CSVs plus a manifest containing settings, assumptions, and checksums, and it returns per-year and ensemble statistics. However, it omits whether the run is idempotent, what auth/permissions are needed, runtime cost for a 23-parameter Monte Carlo call, and whether existing artifacts are overwritten.

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?

A single dense sentence that is front-loaded with the core action and packs outputs into a parenthetical. It wastes no words, though the semicolon-chained clauses demand careful parsing.

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?

Since there is no output schema, the description's note that CSVs, a manifest, and per-year/ensemble statistics are returned is genuinely useful. But for a 23-parameter, no-annotation, write-producing tool, the absence of usage guidance, artifact-overwrite behavior, and precedence among the many scaling/noise options leaves 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 65%, so the schema documents most parameters (scaling, reactive, noise_model, n_scenarios, etc.). The description adds only the 'per load and year' framing and says nothing about how the required grid_id, assignment_id, and years combine or how the 20 optional knobs interact, which is the baseline-3 level when the schema does the heavy lifting.

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 states a specific verb and resource: 'Generate P/Q time series per load and year,' which is unambiguous. It reasonably distinguishes the tool from siblings like register_profile, get_bdew_curve, assign_load_types, and plot_run, though it never names an alternative to force the distinction.

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 when-to-use guidance, no prerequisites, and no comparison to alternatives such as register_profile or load_grid. The agent must infer from the name alone that this is the generation step; nothing in the text routes it.

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