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Glama

Visa Requirements

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

A4.7/5.0
Behavior5/5

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

Disclosures go well beyond annotations: scoped by identifier, persistent for authenticated users, 24-hour retention for anonymous sessions. Annotations idempotentHint=true and destructiveHint=false are consistent; description adds context about scope and retention policy.

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?

Four sentences, each with distinct value: purpose, usage, examples, retention behavior, and pairing. No wasted words. Front-loaded with primary purpose.

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?

For a simple 2-parameter tool with no output schema, the description covers all necessary aspects: purpose, usage, behavior, retention, and relationship to siblings. Complete.

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 covers 100% of parameters with clear descriptions. The description adds no additional parameter-level detail beyond the schema, but it does reinforce the purpose. Baseline score of 3 is appropriate.

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 verb 'save' and resource 'data the agent will need to reuse later', with concrete examples like resolved ticker, target address. It distinguishes itself from sibling tools recall and forget by explicitly mentioning pairing with them.

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 guidance on when to use: 'Use when you discover something worth carrying forward' and gives specific use cases. Also mentions when not to use by pairing with recall and forget, implying these are complementary.

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

All Visa Requirements toolsInspect
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TDQS

A3.9/5.0
Disambiguation2/5

Several tools are near-duplicates: ask_pipeworx and ask_pipeworx_beta are explicitly described as identical, while ask_pipeworx_grounded, deep_research, and validate_claim all route factual questions through overlapping retrieval pipelines. The visa tools are distinct, but the overall set has too many fuzzy boundaries for an agent to reliably pick the right one.

Naming Consistency4/5

Names are consistently lowercase snake_case with recognizable prefixes such as ask_pipeworx, polymarket_, visa_, and verb-first names like compare_entities, resolve_entity, and validate_claim. Minor deviations like bare verbs (forget) and noun-phrase names (entity_profile, pipeworx_feedback) keep it from a perfect score.

Tool Count2/5

34 tools is already above the 25-tool heavy threshold, and for a server named 'Visa Requirements', only 3 tools are visa-related; the rest form an unrelated general data, research, prediction-market, and memory toolkit. This is an over-scoped and confusingly mixed-purpose collection.

Completeness3/5

The three visa tools cover passport-to-destination checks, all destinations for a passport, and multi-passport comparison, but there is no reverse destination-to-passport lookup or visa-policy/application detail. The unrelated tools do not fill those visa-domain gaps, so the surface feels incomplete for the stated visa purpose.

Resources