Skip to main content
Glama

heidi.living furnished stays

Server Details

Furnished monthly stays in Los Angeles: regions, application links, answers. Read-only, no sign-in.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A3.5/5.0

Scored across 3 tools

Disambiguation4/5

The three tools occupy distinct roles: URL construction for applications, static FAQ content, and a region/neighborhood listing. There is mild thematic overlap since the FAQ also explains the application process, but an agent can tell which one to call for which need.

Naming Consistency3/5

The set mixes two noun-phrase names (application_link, faq) with one verb_noun name (list_regions), so there is no predictable pattern. Each name is still readable and self-explanatory.

Tool Count3/5

Three tools is on the thin side for a service that advertises furnished monthly homes. The surface is coherent but feels like a partial slice rather than a complete offering.

Completeness2/5

The domain is furnished stays, yet there is no tool to browse or search available homes, check availability, or get pricing beyond what the region listing implies. An agent can explain the service and generate an application link, but cannot help a guest actually find a specific home.

Available Tools

3 tools
faqQuestions about applyingA
Read-only
Inspect

heidi.living's answers to the questions guests ask before applying: what it is, what applying needs, how long a stay is, signing, paying rent, and what happens to a driver's license.

NameRequiredDescriptionDefault

No parameters

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful topical scope (stay length, signing, rent, driver's license handling), which helps the agent judge relevance, but says nothing about whether the content is curated/static or how it is returned.

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 compact sentence with the subject front-loaded and the covered topics trailing as a scannable list. Every element earns its place, though the topic list could be slightly tighter.

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 zero-parameter, no-output-schema content tool, the key information an agent needs is what topics are covered, and the description enumerates them. The only minor gap is not indicating the response shape (prose vs. structured Q&A).

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?

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to explain and it correctly adds no parameter noise.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the resource precisely: heidi.living's answers to the specific questions guests ask before applying, and enumerates the covered topics. It is clearly a static FAQ-content lookup rather than a link generator (application_link) or a region listing (list_regions). It stops short of a verb like 'returns' but the intent is unambiguous.

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

Usage Guidelines3/5

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

Phrasing 'questions guests ask before applying' implies the trigger context (pre-application guest inquiries), but there is no explicit when-to-use or when-to-prefer-siblings statement. An agent must infer that application_link is for the actual form and faq is for explanatory answers.

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

list_regionsRegions and neighborhoodsA
Read-only
Inspect

Where heidi.living has furnished monthly homes in Los Angeles: each region with its page, its description, and its neighborhoods, saying which have an application search on heidi.living and which are coming soon.

NameRequiredDescriptionDefault

No parameters

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value by disclosing the content of each record, including the 'application search' versus 'coming soon' status flag, which is behaviorally meaningful and not derivable from the schema.

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 front-loaded sentence with no filler — the scope (LA furnished homes) comes first, then the per-region contents. It is slightly run-on, stacking page, description, neighborhoods, and status into one breath, but every clause 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?

With no output schema, the description carries the burden of explaining what comes back, and it does so adequately: region entries with page, description, neighborhoods, and availability status. For a small, non-paginated, read-only catalog lookup, that is essentially complete.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-param tool is 4. Nothing in the description misleads about inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource (regions/neighborhoods where heidi.living has furnished monthly homes in LA) and enumerates what each entry carries: page, description, neighborhoods, and application-search availability. It is far more specific than the title, though it never explicitly contrasts itself with the siblings application_link and faq.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer this is the lookup for which regions/neighborhoods are live versus 'coming soon.' There is no explicit when-to-use statement, no pointer to application_link or faq as follow-ups, and no exclusions.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • Addedapplication_link
    • Removedbooking_link
  2. 3 tool updates
    • First observedbooking_link
    • First observedfaq
    • First observedlist_regions

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Submarket-level US residential rental intelligence for AI agents. Search, compare, rank, and analyze rent data, trends, vacancy, affordability, and days on market across 1,000+ named submarkets in the 20+ largest US metros. ZIP-level and metro-level queries included. Always current, always expanding. Free tier available.
    1
    MIT
  • F
    license
    Not graded
    quality
    Not graded
    maintenance
    Provides AI agents with instant access to jurisdiction-specific landlord-tenant law data and verified state statutes across five US states and major cities. It enables users to query legal rules for security deposits, eviction timelines, and habitability standards with sub-10ms local response times.
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to search, compare, and interact with Apartments.com rental listings, including scheduling tours and contacting property managers.
    6 npm
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources