normalize_temporal_activity

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

No annotations exist, so the description bears the full burden. It does disclose a genuine behavioral trait — the returned series carries caveats for missing data — which is useful. But it omits key behavior: what happens when method='traffic_normalized' but accessibility_data is null (the default), and whether the operation is purely computational or persists anything.

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?

Three short lines, front-loaded with the core action, then the method vocabulary, then the return caveat. No wasted wording, though the method list is bare names without any gloss.

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 spelled out, but the input side is severely under-documented: 0% schema coverage on nested-object parameters means the description should explain the series and accessibility_data contracts and the default behavior. For a tool whose correctness hinges on matching key structures between two nested maps, this is a significant gap.

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% across 3 parameters, one of which is a nested map-of-maps. The description usefully enumerates the three method values that the schema does not express as an enum, but it says nothing about the 'series' structure, the 'accessibility_data' shape, or how keys between them must align.

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 gives a specific verb+resource ('Normalize activity counts') and names the normalization basis ('accessibility/traffic indicators'), which separates it from the raw aggregation siblings like aggregate_temporal_events. It does not explicitly name which sibling it follows or differs from, so it stops short of a 5.

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 implied by the domain (normalize counts after aggregation), and the method list gives the agent something to choose between. However, there is no statement of when normalization is warranted, no condition distinguishing 'traffic_normalized' from 'population_normalized', and no mention of what to do when accessibility data is unavailable.

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