trend_analysis
Historical trend: audit events, score history.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
predictoracle
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
C2.1/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior. It only hints at the subject matter (historical trends) without describing output format, pagination, authentication, or side effects. This is a significant gap for a query tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single fragment, but it is under-specified rather than concisely complete. It omits essential details and does not earn its brevity.
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?
For a tool with no annotations, no output schema, and one undocumented parameter, the description should explain return structure and parameter semantics. It only names the data areas, making it inadequate for reliable use among many siblings.
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 coverage is 0% and there is one parameter (entity_id) with no description. The description does not mention entity_id or explain its role, leaving the agent without any semantic guidance beyond the parameter name.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the resource (audit events, score history) and implies a trend query, but lacks a specific verb like 'get' or 'retrieve.' It vaguely differentiates from prediction-focused siblings but doesn't clearly state its function.
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 like predict_score or health_check. The phrase 'Historical trend' implies a use case but offers no exclusions or context, leaving the agent to infer appropriateness.
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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TDQS
C2.6/5.0
Disambiguation3/5
Tools like deadline_risk, early_warning, and evidence_decay have overlapping concerns about deadlines and warnings, though descriptions provide some distinction. Similarly, predict_article, predict_entity, and predict_score all cover predictions but differ in scope. Some ambiguity remains.
Naming Consistency3/5
All names use snake_case, but the naming pattern mixes verb phrases (predict_article, trend_analysis) with noun phrases (deadline_risk, health_check), lacking a consistent verb_noun or noun_verb structure. This inconsistency can confuse an agent.
Tool Count5/5
12 tools is well within the optimal 3-15 range for a specialized predictive analytics server. Each tool appears to serve a distinct function without unnecessary bloat or deficiency.
Completeness4/5
The tool set covers core predictive needs: deadlines, warnings, decay, scores, scenarios, trends, and remediation velocity. Missing are raw data access or configuration tools, but for a read-only prediction server, the surface is reasonably complete.