compute_ppc_spend_signal

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 does disclose output shape and labels, which is useful, but it does not describe how the score is computed, how optional parameters affect behavior, or whether missing optional inputs change the output.

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 core description is compact and front-loaded, conveying purpose, inputs, and outputs in a single sentence. The leading 'Wave 5 N.4 —' label is internal noise that does not help an agent, so it is not perfect.

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?

Given there is no output schema, the description helpfully names the main returned pieces (score, label, market_saturation) and the input source. It omits the exact return structure, scoring thresholds, and handling of optional inputs, so an agent still lacks some context needed to fully interpret or validate the result.

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 must compensate. It names all four parameters (avgCpcUsd, totalMonthlySpendUsd, optional competitorBidders + competition) and their source context, but it does not define the meaning or scale of 'competition' or how the optional parameters influence the result.

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 output: ppc_spend_score (0-10) plus label (STRONG/CONFIRMED/WEAK/ABSENT) and market_saturation, derived from PPC traffic projection. It is distinguishable from sibling compute_* tools by the PPC spend domain, though the tool name says 'signal' while the description says 'score', creating minor ambiguity.

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?

It implies when to use the tool by saying 'Feed numbers from dataforseo_ad_traffic' and framing inputs as a 'PPC traffic projection'. However, it does not explicitly state when not to use it or how it differs from sibling compute tools.

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