get_market_barometer

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

No annotations are supplied, so the description carries the full burden, and it only describes content, not behavior. It never states that the tool is read-only, how fresh the aggregates are, whether figures are cached or recomputed per call, the scope of data covered, or the unit/format of the returned structure. The reference to Article 148 of Decree 2-22-431 signals regulatory framing but no operational behavior.

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?

One compact sentence, front-loaded with the tool's identity and followed by the concrete metrics. It is essentially a field enumeration, but nothing is redundant or padded. Slight deduction for reading as an output list rather than a purpose statement.

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?

With no output schema, the description must convey the return content, and enumerating the four metrics does that adequately for a zero-required-parameter aggregate tool. However, it omits freshness, data scope, and the absence of any guidance on the optional 'period' argument's effect, leaving gaps an agent would notice when interpreting results.

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 100% and the single 'period' parameter is documented with examples ('current', 'quarterly', '2026'), so the schema does the work. The description adds no meaning beyond the schema — it does not say how period affects the aggregation or what the default is when omitted (the parameter is not required).

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 names the resource specifically (macroeconomic barometer of Moroccan public procurement, 'Soumit Barometer') and enumerates what it reports: committed budget volume in MAD, active opportunity count, regional-pole breakdown, and TPME 30% quota compliance. An agent can tell it is an aggregate-indicator tool. It stops short of explicitly distinguishing itself from siblings such as get_buyer_intelligence or check_regulatory_compliance, which also touch compliance and market data.

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 statement of when to use this tool, when not to, or which sibling to prefer for a narrower question (e.g. search_tenders for individual opportunities vs. this tool for aggregate volume). Usage must be inferred entirely from the list of returned metrics.

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