Skip to main content
Glama
demeet2k

Athena MCP Server

by demeet2k

athena_transition_predict

Predict context deltas and uncertainty from observed action transitions, without synthesizing missing features.

Instructions

Predict context deltas/uncertainty from observed action transitions. Missing features are not synthesized.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYes
action_idYes
prior_strengthNo
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. The caveat 'Missing features are not synthesized' is a meaningful behavioral trait that adds clarity. However, it does not mention side effects, determinism, or other expectations like what happens if prior_strength is missing, leaving partial transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler, front-loaded with the primary purpose. The additional caveat about missing features is concise and adds value without unnecessary verbosity.

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?

With no output schema and a complex nested 'context' object, the description leaves many gaps: the expected context structure, the role of prior_strength, and the return format are all unspecified. The tool would be difficult to invoke correctly without additional documentation.

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

Parameters2/5

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

Schema description coverage is 0%, and the description provides only a vague hint about context features through 'missing features are not synthesized.' It does not explain the required structure of 'context', the purpose of 'action_id', or the meaning/effect of 'prior_strength', so parameter semantics are largely uncompensated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (predict) and the object (context deltas/uncertainty) from a specified source (observed action transitions). It distinguishes itself from observation tools by using 'predict,' making the purpose specific and unambiguous.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives is provided. The phrase 'from observed action transitions' implies it should be used after such observations exist, but no exclusions or named alternatives are given, making the usage context merely implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/demeet2k/athena-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server