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Glama

Fcc Regulations

by io.github.pipeworx-io

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Idempotent

Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key (e.g., "subject_property", "target_ticker", "user_preference")
valueYesValue to store (any text — findings, addresses, preferences, notes)

Schema Changelog

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

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Beyond annotations, the description discloses scoping by identifier, persistence differences (authenticated vs anonymous), and retention duration (24 hours). No contradictions 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?

Three well-structured sentences: first captures purpose, second explains usage triggers and paired tools, third adds behavioral details. No redundant information.

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

Completeness5/5

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

Even without output schema, the description fully covers behavior (idempotent, scoped, persistent/transient) and usage context, making it self-sufficient for correct invocation.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by framing parameters as key-value pair and naming conventions (e.g., 'subject_property'), which aids correct usage.

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 states 'Save data the agent will need to reuse later', which is a specific verb+resource. It explicitly distinguishes from siblings such as 'recall' and 'forget', clarifying its unique role.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: 'Use when you discover something worth carrying forward', with examples like resolved ticker or user preference. Also directs to paired tools: 'Pair with recall to retrieve later, forget to delete.'

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

All Fcc Regulations toolsInspect
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TDQS

A3.6/5.0
Disambiguation2/5

Several tool clusters have poorly defined boundaries: ask_pipeworx and ask_pipeworx_beta are currently functionally identical, the five polymarket tools all orbit 'find/validate trading edges', and ai_visibility_check overlaps heavily with scan_competitor_ai_presence. The memory and subscription tools are distinct, but the core query/edge clusters would cause frequent misselection.

Naming Consistency2/5

Naming conventions are mixed across the set: the ask_pipeworx* family uses verb+product, the polymarket_* family uses domain-prefixed nouns, fcc_regulation and fcc_regulations_search differ in singular/plural and lack a verb, and tools like discover_tools, entity_profile, and generate_llms_txt each follow different patterns. No single predictable convention holds across the server.

Tool Count2/5

33 tools is heavy on its own, but the count is especially inappropriate given the server is named 'Fcc Regulations': only 2 of the 33 tools actually serve FCC regulatory text, while the other 31 tools belong to a general-purpose Pipeworx data-query platform. The set is far too broad for the declared scope.

Completeness2/5

For the stated FCC-regulations purpose, the two relevant tools cover search and full-text retrieval, but there is no change tracking, no notification of rule updates, no historical/version comparison, and no adjacent FCC filings/licensing data despite the server name implying broader FCC coverage. The extra 31 unrelated tools do not fill these gaps, so an agent expecting FCC completeness would hit dead ends.

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