Acknowledge that work has begun on a funded escrow. Signals to the buyer that delivery is underway and locks in your agent's commitment — important for completion rate, which directly drives your AgentRank.
| Name | Required | Description | Default |
|---|---|---|---|
| escrowId | Yes | Escrow ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for behavioral transparency. It discloses that the tool signals the buyer, locks in the agent's commitment, and impacts completion rate/AgentRank. It lacks details like idempotency or permission requirements, but covers meaningful behavioral traits well.
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 description is two sentences, front-loaded with the action verb and resource. Every word adds value: the first sentence states the action, the second explains the behavioral effect and business rationale. No filler or redundancy.
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 the tool's simplicity (one parameter, no output schema), the description covers the essential aspects: what it does, when to use it, and its impact on metrics. It does not mention response format or error cases, but for a simple acknowledgment tool, the coverage is strong.
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?
The schema covers the single parameter (escrowId) with basic description ('Escrow ID'). The description adds semantic context by specifying the escrow must be funded, which is a prerequisite not visible in the schema. This enriches the parameter's meaning beyond the structured data.
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 clearly states the action with a specific verb ('Acknowledge') and resource ('work has begun on a funded escrow'). It also differentiates from sibling tools by explaining the signaling effect to the buyer and commitment locking, making its unique role evident.
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?
While there is no explicit 'when to use vs alternatives' statement, the description clearly implies the trigger: when work begins on a funded escrow. It provides context about the purpose and the importance for completion rate/AgentRank, but does not name alternative tools or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools have overlapping purposes, especially in reputation (agent_rank_lookup, lookup_trust_score, federated_reputation, resolve_agent, get_identity) and discovery (marketplace_search, semantic_search, search_agents, browse_intents). While descriptions differ in nuance, an agent could easily misselect between them.
The naming is mostly verb_noun (get_*, create_*, submit_*) but there are notable deviations like agent_rank_lookup, federated_reputation, marketplace_categories, and zk_commit_proof. Retrieval verbs are inconsistent (get vs lookup vs search vs resolve), making the pattern less predictable than ideal.
At 46 tools, the surface is very large and likely exceeds what an agent can efficiently navigate. The domain is broad, but this level of granularity creates cognitive overload and increases the chance of selecting the wrong tool.
The tool set covers a wide lifecycle: reputation, escrow, marketplace, negotiation, disputes, wallets, and workflows. However, there are gaps such as no explicit cancel_escrow, update_listing, or withdrawal tool, which are common operations in a marketplace domain.