FREE. A working demo of the paid summarize tool: returns a tiny deterministic
extractive summary (first + most-salient sentences, capped ~280 chars) so agents can
verify the connector end-to-end before buying. No payment, no auth required.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to summarize (any length; only a short preview is returned). |
| 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, and it delivers: it discloses that the tool is free, a demo, returns a deterministic extractive summary (first + most-salient sentences, capped ~280 chars), and requires no payment/auth. It also notes the output is a short preview, setting accurate expectations for the demo behavior.
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, front-loaded with 'FREE' and the demo purpose, followed by precise behavioral details. Every sentence adds value with no fluff or repetition, making it highly efficient.
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, usage context, behavioral details, and limitations, while the schema and output schema handle parameter and return format. For a simple one-parameter demo tool with a sibling paid tool, this is complete and self-sufficient.
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 schema description covers 100% of the parameter (`text`), including the 'any length; only a short preview is returned' caveat. The tool description adds no additional parameter semantics beyond what the schema already provides, so the 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 it is a free demo of the paid `summarize` tool, returning a tiny deterministic extractive summary capped at ~280 chars. It uses a specific verb ('returns') and resource ('demo'), and distinguishes itself from the sibling `summarize` tool by explicitly noting the demo status and free/no-auth nature.
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 says 'so agents can verify the connector end-to-end before buying,' giving clear context for when to use this demo. It implies the paid `summarize` is for production use, but does not explicitly name it as an alternative or state 'use summarize for real summaries.' The guidance is clear enough for an agent to infer the correct choice.
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.