PAID (0.10 USDC). Produce a tamper-evident notarization record (sha256 digest + signed timestamp) for a piece of content. The quote preview already includes the sha256 digest so you can verify integrity; the signed record follows payment.
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | The content to notarize. |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the cost (PAID 0.10 USDC), the tamper-evident nature of the output, and the payment-before-signed-record flow. It does not cover error cases or reversibility, but the key behavioral traits are clearly conveyed.
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 long and front-loads the critical information: cost, action, and deliverable. Every phrase adds value—payment amount, tamper-evident, sha256 digest, signed timestamp, and the payment workflow. No fluff or redundant content.
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?
The description covers the purpose, cost, output details, and workflow, which is sufficient for a simple one-parameter tool. An output schema exists, so return values are partially handled, but the description still summarizes the output. It lacks edge-case handling but is otherwise complete for the tool's complexity.
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 input schema already provides a description for the single 'content' parameter ("The content to notarize.") which fully covers its meaning. The tool description adds no additional parameter-level details beyond mentioning the sha256 digest, which is more about output than input validation. With 100% schema coverage, a baseline of 3 is appropriate.
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 tool produces a tamper-evident notarization record with sha256 digest and signed timestamp for a piece of content. This specific verb+resource combination distinguishes it from sibling tools like trust_check or fact_verify, which serve different purposes.
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 provides clear context on when to use the tool: to notarize content in exchange for payment (0.10 USDC). It also explains the workflow with the quote preview including the sha256 digest before payment. However, it does not explicitly mention alternatives or when not to use it, so it falls 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.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes, with memory-specific tools like mnemos_store, mnemos_search, and mnemos_get_context differentiated by their descriptions. The main ambiguity is between mnemos_search and mnemos_get_context, which both retrieve memories but with different output formats, and summarize_demo is a deliberate clone of summarize though clearly marked as a demo.
Naming conventions are inconsistent: some tools are prefixed with mnemos_ (mnemos_as_of, mnemos_store) while others use generic verb_noun names (code_review, fact_verify, notarize, summarize). This mix of styles makes it harder to predict functionality from tool names alone.
15 tools sits at the upper boundary of the typical range, but the server is advertised as memory-as-a-service while also offering many unrelated paid services (code review, fact verification, research briefs, summarization, trust checks, embeddings). This breadth makes the tool set feel overweighted and unfocused relative to the server's stated purpose.
The memory domain is well covered: provisioning, storing, searching, context retrieval, and bi-temporal reads are all present, with no obvious dead ends. The non-memory tools are single-purpose and do not require additional CRUD operations, so no critical gaps are apparent for their individual tasks.