Get contact exchange
get_contact_exchangeRead field-level contact consent and released snapshots for the current actor.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| conversationId | Yes | ||
| conversationToken | Yes |
get_contact_exchangeRead field-level contact consent and released snapshots for the current actor.
| Name | Required | Description | Default |
|---|---|---|---|
| conversationId | Yes | ||
| conversationToken | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only the actor scoping and a hint of what is returned (field-level consent plus released snapshots); it says nothing about whether conversationToken must be a live session token, what happens on an expired token, or how snapshots are versioned.
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 front-loaded sentence with no filler or redundancy. It is efficient, though the brevity is partly under-specification rather than disciplined concision.
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 tool that sits in a multi-step contact-exchange flow (prepare → get → confirm) with two required opaque parameters and no output schema, the description omits the workflow context, token semantics, and any sense of the return shape. It is not wrong, but it leaves the agent without enough to call this reliably.
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% for two required parameters, and the description does not compensate at all — it never explains what conversationId identifies or what conversationToken authorizes. With both parameters undocumented in the schema and absent from the description, an agent has no basis for constructing a valid call beyond guessing from the names.
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 ('Read') and a specific resource ('field-level contact consent and released snapshots'), scoped to 'the current actor'. An agent can distinguish this read from prepare_contact_exchange and confirm_contact_exchange by name, but the description never explicitly contrasts them, so sibling differentiation is only implied.
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 guidance on when this should be called — not after prepare_contact_exchange, not before confirm_contact_exchange, not in place of get_conversation. The agent must infer the position of this tool in the consent workflow from the name alone.
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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