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Read-onlyIdempotent

Blocklist entries first seen in the last N hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNoDefault 24, max 720 (30 days).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of entries first seen within the window
hoursYesNumber of hours in the lookback window
resultsYesBlocklist entries first seen in the time window

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "hours": 24
      +  },
      +  {
      +    "hours": 72
      +  }
      +]
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "count": {
      +      "description": "Number of entries first seen within the window",
      +      "type": "number"
      +    },
      +    "hours": {
      +      "description": "Number of hours in the lookback window",
      +      "type": "number"
      +    },
      +    "results": {
      +      "description": "Blocklist entries first seen in the time window",
      +      "items": {
      +        "properties": {
      +          "as_name": {
      +            "description": "Autonomous System name",
      +            "type": "string"
      +          },
      +          "as_number": {
      +            "description": "Autonomous System number",
      +            "type": "number"
      +          },
      +          "country": {
      +            "description": "Country code or name",
      +            "type": "string"
      +          },
      +          "first_seen": {
      +            "description": "ISO timestamp of first observation",
      +            "type": "string"
      +          },
      +          "hostname": {
      +            "description": "Associated hostname",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "ip_address": {
      +            "description": "IP address",
      +            "type": "string"
      +          },
      +          "last_online": {
      +            "description": "ISO timestamp of last online status",
      +            "type": "string"
      +          },
      +          "malware": {
      +            "description": "Associated malware family name",
      +            "type": "string"
      +          },
      +          "port": {
      +            "description": "Port number",
      +            "type": "number"
      +          },
      +          "status": {
      +            "description": "Status (e.g. online, offline)",
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "ip_address"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "hours",
      +    "count",
      +    "results"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, so the description adds value by specifying the temporal filter but does not elaborate on pagination or ordering. No contradiction with annotations.

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?

Single sentence, front-loaded, no redundant information. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple filtered list tool with one optional parameter and an output schema, the description is sufficient. It covers the core functionality without missing essential details.

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

Parameters3/5

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

Schema coverage is 100% with the hours parameter documented. The description adds no extra semantic meaning beyond the schema, baseline of 3 applies.

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 tool lists 'Blocklist entries first seen in the last N hours,' providing a specific verb (list implied), resource (blocklist entries), and scope (recent entries). This distinguishes it from siblings like 'recent_alerts' or 'recent_changes'.

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 explicit guidance on when to use this tool versus alternatives. While the description implies use for recent blocklist entries, it does not mention exclusions or related tools, leaving the agent to infer context.

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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Glama MCP Gateway

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TDQS

A3.5/5.0
Disambiguation2/5

Multiple near-duplicate clusters exist: ask_pipeworx, ask_pipeworx_beta (explicitly identical to the stable router right now), and ask_pipeworx_grounded all route through the same 5,767-tool catalog, and six polymarket_* tools overlap heavily in surfacing bet/edge opportunities. The blocklist tools (list, recent, aggressive) are only weakly distinguished by time window and confidence, requiring careful reading to select correctly.

Naming Consistency2/5

Naming mixes several incompatible conventions: bare adjectives/nouns for blocklist tools (aggressive, list, recent), brand-prefixed compounds (polymarket_arbitrage, pipeworx_feedback), verb_noun pairs (check_ip, resolve_entity), and noun phrases (entity_profile, bet_research). The server name 'Feodotracker' appears nowhere in the tool names, and the blocklist cluster uses a completely different style from the data cluster.

Tool Count2/5

At 35 tools, the count exceeds the 25-tool threshold for 'too many', but the deeper issue is that roughly 31 tools serve a general data-lookup/prediction-market platform while only 4 serve the server's stated Feodotracker blocklist purpose. The count reflects two unrelated products merged into one MCP server rather than a well-scoped tool surface.

Completeness2/5

For the named Feodotracker domain, the surface is thin: list/check/recent cover basic blocklist access but miss historical lookups, per-entry threat intel, or export formats that a botnet tracker would need. For the data-lookup domain the 31-tool suite is impressively complete, but the two domains don't form a coherent whole—each leaves the other's lifecycle half-served.