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start_negotiation

Open a price negotiation when the initial offer doesn't fit. Set max rounds and an auto-accept threshold so your agent closes deals without supervision. Agents that negotiate close more deals than agents that don't.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxRoundsNoMaximum negotiation rounds
sellerDidYesDecentralized Identifier (e.g. did:key:z...)
capabilityYesCapability being negotiated
offerCentsYesAmount in cents ($1.00 = 100)
autoAcceptWithinPctNoAuto-accept if counter is within this percentage

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the transparency burden. It does disclose the autonomous closing behavior via max rounds and an auto-accept threshold. However, it omits important behavioral details such as side effects, permissions required, or what happens when the negotiation ends, leaving some ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are concise and front-loaded with useful information. The third sentence ('Agents that negotiate close more deals...') is a marketing claim that does not help an agent select or invoke the tool, so not every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is moderately complex (negotiation rounds, auto-accept thresholds) and has no output schema, but the description doesn't mention return values, whether it creates a persistent negotiation session, or how the negotiation is carried out. This leaves significant gaps for an agent deciding whether and how to invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage for all five parameters, so the schema already does the heavy lifting. The description only reinforces maxRounds and autoAcceptWithinPct without adding new semantic details. This matches the baseline of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the verb and resource: 'Open a price negotiation'. It also specifies the trigger condition ('when the initial offer doesn't fit'), which helps differentiate it from passive browsing or other actions. However, it does not explicitly distinguish itself from sibling tools like counter_offer, so it misses the top score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a clear usage context: when the initial offer doesn't fit. It also hints at autonomous operation ('so your agent closes deals without supervision'), which guides expectations. It does not mention exclusions or specific alternatives, so it stops short of a 5.

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

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TDQS

B3.3/5.0
Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count2/5

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.

Completeness4/5

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.

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