Skip to main content
Glama

Opsphere — DevOps & SRE Intelligence

Akamai WAF/Bots (desde logs en Datadog)

dd_waf_bots
Read-only

Quick summary of unwanted traffic (bots/WAF) from your logs

Input Schema

NameRequiredDescriptionDefault
toNo
fromNo
queryNoQuery explícita para acotar (service/source/attrs)
context_idNoOptional explicit Connection Hub work context (ctx_*). Omit to use the conversation's active workspace; global Hub tools ignore it.

Output Schema

NameRequiredDescriptionDefault
okYes
dataYes
contractVersionYes
dataSchemaVersionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed16 schema fields changed
    • changedOutput schema / properties / data / additionalProperties
      Previous value: -trueNew value: +false
    • addedOutput schema / properties / data / properties / blocked
      Added value: +{
      +  "minimum": 0,
      +  "type": "integer"
      +}
    • removedOutput schema / properties / data / properties / data
      Removed value: -{
      -  "items": {
      -    "additionalProperties": true,
      -    "properties": {},
      -    "type": "object"
      -  },
      -  "type": "array"
      -}
    • addedOutput schema / properties / data / properties / from
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / data / properties / gaps
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • removedOutput schema / properties / data / properties / links
      Removed value: -{
      -  "$ref": "#/properties/data/properties/data/items"
      -}
    • removedOutput schema / properties / data / properties / meta
      Removed value: -{
      -  "$ref": "#/properties/data/properties/data/items"
      -}
    • addedOutput schema / properties / data / properties / partial
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / data / properties / sampledEvents
      Added value: +{
      +  "items": {
      +    "additionalProperties": false,
      +    "properties": {
      +      "action": {
      +        "type": "string"
      +      },
      +      "clientIp": {
      +        "type": "string"
      +      },
      +      "path": {
      +        "type": "string"
      +      },
      +      "rule": {
      +        "type": "string"
      +      },
      +      "timestamp": {
      +        "type": "string"
      +      }
      +    },
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / data / properties / to
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / data / properties / total
      Added value: +{
      +  "minimum": 0,
      +  "type": "integer"
      +}
    • addedOutput schema / properties / data / properties / truncated
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / data / properties / warnings
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / data / required
      Added value: +[
      +  "from",
      +  "to",
      +  "total",
      +  "sampledEvents",
      +  "partial",
      +  "truncated",
      +  "warnings",
      +  "gaps"
      +]
    • addedOutput schema / properties / dataSchemaVersion
      Added value: +{
      +  "const": 2,
      +  "type": "number"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "contractVersion",
      -  "ok",
      -  "data"
      -]New value: +[
      +  "contractVersion",
      +  "dataSchemaVersion",
      +  "ok",
      +  "data"
      +]
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnly, non-destructive, closed-world, so safety is covered. Beyond that, the description adds nothing: no default time window, no note that it fans out over log indexes via the query param, no indication of aggregation granularity or whether results are sampled.

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

Conciseness4/5

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

A single short sentence with no filler and the key qualifier ('quick summary') front-loaded. It is tight, though the brevity borders on under-specification rather than economy.

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?

An output schema exists so return values need not be explained, and annotations cover safety. But with four all-optional parameters and no stated default time range, an agent calling this with no arguments has no idea what period it summarizes — a material gap the description should close.

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 coverage is only 50%: 'to' and 'from' have no descriptions anywhere, and the description says nothing about parameters, so an agent cannot infer whether they are date bounds, entities, or free text. 'query' and 'context_id' are documented in the schema, but the description contributes zero semantic value on top.

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 phrase 'summary of unwanted traffic (bots/WAF)' identifies the resource and the output shape (an aggregate summary), but the verb is nominalized and the source is vaguely 'your logs'. The description never names Datadog (only the title does) and never differentiates itself from sibling log tools like dd_logs_search, dd_logs_aggregate or dd_errors_by_service.

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?

The word 'Quick' hints at an overview use case, but there is no explicit when-to-use, no when-not-to-use, and no alternative named. With ~20 dd_* siblings, the agent gets no routing guidance at all from the description.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources