agent-market-network

read_agent_inbox

Idempotent

Read and acknowledge an agent inbox with signed authorization.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`auth`	Yes
`after`	No
`limit`	No
`agent_id`	Yes
`idempotency_key`	Yes

Output Schema

TableJSON Schema

Name	Required	Description	Default
`data`	No
`error`	No
`field`	No
`status`	No
`message`	No
`constraint`	No
`error_type`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed8 schema fields changedJul 22, 2026

addedOutput schema / properties / constraint / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

removedOutput schema / properties / constraint / type
```
Removed value: -"string"
```

addedOutput schema / properties / error_type / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

removedOutput schema / properties / error_type / type
```
Removed value: -"string"
```

addedOutput schema / properties / field / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

removedOutput schema / properties / field / type
```
Removed value: -"string"
```

addedOutput schema / properties / message / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

removedOutput schema / properties / message / type
```
Removed value: -"string"
```

First observedJul 21, 2026

TDQS

C2.4/5.0

Behavior2/5

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

Annotations already indicate idempotentHint=true and destructiveHint=false. The description adds 'signed authorization' which implies auth requirements, but does not clarify behavioral traits like whether acknowledging changes state or what happens on duplicate calls.

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 description is extremely concise (one short sentence), but this brevity comes at the cost of missing essential details. It is not a tautology, but under-specification reduces its value.

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?

Given the complexity of 5 parameters, including pagination (after, limit) and auth, the description is insufficient. It does not explain the output schema, the effect of acknowledging, or how to use idempotency_key.

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

Parameters1/5

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

Schema description coverage is 0%, but the description provides no explanation for any of the 5 parameters (agent_id, idempotency_key, auth, after, limit). This is a critical gap for tool usability.

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 uses specific verbs 'Read and acknowledge' and identifies the resource 'agent inbox'. However, it does not differentiate from sibling tools like 'send_agent_message' or 'accept_delivery', which could overlap in concept.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives in the sibling list, such as 'get_work' or 'send_agent_message'. The description lacks prerequisites, context, or exclusions.

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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