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Seo Backlinks

Remember

remember
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
Behavior4/5

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

Annotations indicate idempotentHint=true and destructiveHint=false; description adds scoping by identifier, persistent memory for authenticated users, and 24-hour retention for anonymous sessions—behavioral context beyond 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?

Concise, well-structured description with front-loaded main action, no wasted words, and logical flow from purpose to usage to persistence details.

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?

Complete for a memory storage tool with no output schema: covers purpose, usage timing, storage format, scoping, persistence, and pairing with sibling tools.

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 covers 100% of parameters with descriptions; description adds practical naming conventions (e.g., 'subject_property', 'target_ticker') and clarifies value as 'any text' including findings and preferences.

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?

Description states specific verb 'save' and resource 'data' for reuse, clearly distinguishing from sibling tools 'recall' and 'forget' by mentioning pairing.

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?

Explicitly tells when to use (discover something worth carrying forward), provides storage format (key-value pair scoped by identifier), and contrasts with 'recall' and 'forget' for retrieval/deletion. Also notes authentication-based persistence differences.

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

A3.6/5.0
Disambiguation2/5

The set mixes a coherent SEO backlink cluster with a huge general-purpose Pipeworx data platform, and several tools are near-duplicates: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all route the same underlying catalog. ai_visibility_check and scan_competitor_ai_presence also overlap heavily.

Naming Consistency2/5

Naming is inconsistent across the set: seo_backlinks_* tools follow verb_noun with a prefix, but most other tools use arbitrary names like ask_pipeworx, bet_research, forget, remember, generate_llms_txt, and subscribe. The seo_* group is internally consistent, but the overall surface mixes conventions and vague verbs.

Tool Count2/5

36 tools is heavy for a server named 'Seo Backlinks', and the majority have nothing to do with SEO backlinks. The actual backlink feature set is small and well-scoped, but it is buried inside a much larger, unrelated platform surface.

Completeness4/5

For the SEO backlinks domain, the surface is solid: summary, list, anchors, referring domains, and history cover the core read-only backlink workflow. Broader gaps exist if the server is considered a general data platform, but relative to its stated backlink purpose the missing functionality is minor.