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

With no annotations, the description carries the full burden but does disclose a key behavioral trait: matching is literal and normalized for case, whitespace and quotation marks. It does not state return behavior, but an output schema exists, which lowers the disclosure burden. No indication of permissions or failure modes beyond that.

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 sentence that leads with the core verb and resource. The parenthetical normalization detail is informative but slightly interrupts the flow; otherwise efficient with no wasted sentences.

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?

For a simple two-parameter, read-only-style verification tool with an output schema, the description covers the essential operation and matching semantics. The main gap is the absence of usage context relative to siblings, but the functional core is complete.

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 implicitly tells the agent that 'quote' is the string being matched and that 'doc_id' identifies the document whose title/text is searched. That adds meaningful semantic context beyond the bare parameter names, though it does not specify formats or constraints.

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?

States a specific verb (prüft) and a precise resource/condition (wörtliches Zitat in Titel oder Text). It is distinguishable from sibling tools, none of which deal with quote verification. The only slight weakness is that the normalization semantics are bundled in rather than the purpose being stated in a single crisp clause.

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 gives no when-to-use or when-not-to-use guidance and does not reference any alternative tool. An agent learns what the tool does but not when it is the right choice versus, say, searching the document directly.

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