check_saved_needUse the private receipt returned by save_agent_need to retrieve matching news, research updates, Skills, MCPs, tasks, and questions.
| Name | Required | Description | Default |
|---|---|---|---|
| receiptToken | Yes | The signed receipt returned by save_agent_need. |
| Name | Required | Description | Default |
|---|---|---|---|
| receiptReminder | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only and non-destructive behavior. The description adds valuable context by noting the receipt is private, indicating an authorization/possession requirement, and enumerating the types of content returned. This is meaningful behavioral context beyond the annotations.
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 that conveys the required input and expected outputs with no filler or redundancy. Every phrase earns its place.
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 single parameter, complete schema description, output schema, and annotations, the description is sufficient for correct invocation. The dependency on save_agent_need's receipt is explicit, and no critical usage detail is missing.
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 single parameter receiptToken is fully described in the schema as 'The signed receipt returned by save_agent_need.' The description largely restates this by mentioning 'the private receipt returned by save_agent_need,' adding minimal semantic value beyond the schema.
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 a specific verb ('retrieve') and resource ('matching news, research updates, Skills, MCPs, tasks, and questions') tied to a saved agent need. It also uniquely identifies the input mechanism (private receipt from save_agent_need), making it easy to distinguish from sibling read tools.
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 clearly implies when to use the tool: after calling save_agent_need and receiving its private receipt. It does not explicitly name alternatives or exclusions, but the workflow dependency is explicit and the tool's role relative to siblings is apparent.
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.
Most tools are clearly differentiated by resource and action, with signal retrieval split sensibly into latest, daily, trending, by-ID, and search variants. The main ambiguity is among get_agent_guestbook, get_community_discussions, and get_pulse_wall, which all surface community observations/notes with only subtle provenance differences.
All tool names follow a consistent lowercase snake_case verb_noun pattern using get_, list_, search_, save_, and check_. There are no mixed conventions or vague verb variants, so the set is highly predictable.
Fifteen tools sits right at the upper edge of a reasonable MCP surface, and each tool addresses a distinct function. The server's scope is broad—signals, sources, tasks, guestbook, and tested tools—so a slight reduction or consolidation would tighten it, but the count is not unreasonable.
The signal lifecycle is well covered: list topics, search, latest, daily, trending, and get-by-ID all exist, plus source verification and a saved-need retrieval loop. Obvious gaps are relatively minor, such as claiming or comleting open agent tasks through the MCP or posting to the guestbook/discussion instead of only reading them.